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Macquarie University
1.
Dianat, Oldooz.
Representing and reasoning about Bayesian games with epistemic logic.
Degree: 2014, Macquarie University
URL: http://hdl.handle.net/1959.14/1063980 
► Theoretical thesis.
Bibliography: pages 119-128.
1. Introduction – 2. Game theory and modal logic – 3.Games and epistemic logic – 4. Model checking – 5.…
(more)
▼ Theoretical thesis.
Bibliography: pages 119-128.
1. Introduction – 2. Game theory and modal logic – 3.Games and epistemic logic – 4. Model checking – 5. Applications – 6. Conclusions.
Multi-agent systems are systems which include more than one autonomous agent with either varying information or varying interests, or both. An agent in a multi-agent system should behave rationally, which informally is defined as choosing actions that improve its chance of success. This definition of rationality is adopted to game theory which is the science of studying interactions between agents in multi-agent systems. However, these descriptions do not consider the reasoning abilities of agents. One way to tackle this issue is to use logical declarative languages, as these languages enable reasoning about the best strategy in games by considering other players' rationality and reasoning abilities. Furthermore, logical languages are used to represent game models explicitly and these languages can formulate certain specific situations, such as game theory solutions. Agents are then able to verify the correctness of these formulae in the model, thus these languages equip agents with decision making capability based on reasoning. In this thesis, we study normal form games, in which a set of agents make their decisions simultaneously, without the knowledge about the decisions of other agents, and Bayesian games that let agents face uncertainty and hold private information. We first provide an epistemic language which can model the knowledge of an agent for reasoning about games without uncertainty for reasoning about normal form games. We then extend it for representing and reasoning about Bayesian games. The extended language is used to describe explicit models that assist agents in decision making. In addition, this language is used as an expressive, general, semantically well-defined query language for model checkers. To show that our language is a succinct and expressive language and our approach is practical for a reasonable class of applications, several representative game scenarios are investigated, such as detection of attackers in wireless networks and recognition of the benefits of using cloud computing.
1 online resource (xix, 128 pages) diagrams, graphs, tables
Advisors/Committee Members: Macquarie University. Department of Computing.
Subjects/Keywords: Game theory – Computer programs; Epistemic logic; Bayesian statistical decision theory; knowledge representation; game theory; Bayesian games; epistemic logic
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Manager
APA (6th Edition):
Dianat, O. (2014). Representing and reasoning about Bayesian games with epistemic logic. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1063980
Chicago Manual of Style (16th Edition):
Dianat, Oldooz. “Representing and reasoning about Bayesian games with epistemic logic.” 2014. Doctoral Dissertation, Macquarie University. Accessed April 10, 2021.
http://hdl.handle.net/1959.14/1063980.
MLA Handbook (7th Edition):
Dianat, Oldooz. “Representing and reasoning about Bayesian games with epistemic logic.” 2014. Web. 10 Apr 2021.
Vancouver:
Dianat O. Representing and reasoning about Bayesian games with epistemic logic. [Internet] [Doctoral dissertation]. Macquarie University; 2014. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1959.14/1063980.
Council of Science Editors:
Dianat O. Representing and reasoning about Bayesian games with epistemic logic. [Doctoral Dissertation]. Macquarie University; 2014. Available from: http://hdl.handle.net/1959.14/1063980
Arizona State University
2.
Keylor, Eric Karl.
Space Vector: Video Games for Introductory Newtonian
Mechanics.
Degree: Educational Technology, 2014, Arizona State University
URL: http://repository.asu.edu/items/25818
► This dissertation describes Space Vector 1 and Space Vector 2, two video games that introduce Newtonian mechanics concepts. Space Vector 1 is a side-scrolling game,…
(more)
▼ This dissertation describes Space Vector 1 and Space
Vector 2, two video games that introduce Newtonian mechanics
concepts. Space Vector 1 is a side-scrolling game, in which players
choose to drop bombs or supplies. Players had to identify if the
physics was correct during a mission, or they had to plot the
trajectory of a falling object, which was then simulated. In Space
Vector 2, players were given velocity and acceleration values and
had to plot the trajectory of a spaceship across a grid, or players
were given a trajectory of a spaceship on a grid and had to program
the velocity and acceleration values to produce the trajectory.
Space Vector 1 was evaluated with 65 college undergraduates. Space
Vector 2 was evaluated with 18 high school students. All
participants were given a subset of the Force Concept Inventory, a
standard assessment tool in physics education, as a pretest and
posttest. Space Vector 1 was evaluated with a single group
pretest-posttest design. Space Vector 2 was evaluated with a 2 x 2
ANOVA, where the factors were game mechanic (prediction mechanic or
programming mechanic) and bonus questions (bonus question after a
mission or no bonus question). Bayesian statistical methods were
used for the data analysis. The best estimate for the average
change in test scores for Space Vector 1 was a score gain of 1.042
(95% Highest Density Interval (HDI) [0.613, 1.487]) with an effect
size of 0.611 (95% HDI [0.327, 0.937]). The best estimate for the
grand mean of change scores in Space Vector 2 was an increase of
0.78 (95% HDI [-0.3, 1.85]) with an effect size of 0.379 (95% HDI
[-0.112, 0.905]). The prediction/no bonus question version produced
the largest change in score, where the best estimate for the mean
change score was an increase of 1.2. The estimation intervals for
the Space Vector 2 results were wide, and all included zero as a
credible value.
Subjects/Keywords: Educational technology; Science education; Physics; Bayesian statistics; educational video game; game design; Newtonian mechanics; physics education; serious game
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Manager
APA (6th Edition):
Keylor, E. K. (2014). Space Vector: Video Games for Introductory Newtonian
Mechanics. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/25818
Chicago Manual of Style (16th Edition):
Keylor, Eric Karl. “Space Vector: Video Games for Introductory Newtonian
Mechanics.” 2014. Doctoral Dissertation, Arizona State University. Accessed April 10, 2021.
http://repository.asu.edu/items/25818.
MLA Handbook (7th Edition):
Keylor, Eric Karl. “Space Vector: Video Games for Introductory Newtonian
Mechanics.” 2014. Web. 10 Apr 2021.
Vancouver:
Keylor EK. Space Vector: Video Games for Introductory Newtonian
Mechanics. [Internet] [Doctoral dissertation]. Arizona State University; 2014. [cited 2021 Apr 10].
Available from: http://repository.asu.edu/items/25818.
Council of Science Editors:
Keylor EK. Space Vector: Video Games for Introductory Newtonian
Mechanics. [Doctoral Dissertation]. Arizona State University; 2014. Available from: http://repository.asu.edu/items/25818
NSYSU
3.
Chen, Chen-wen.
A Signaling Game between a Manager and Investors for Financial Disclosure.
Degree: PhD, Business Management, 2013, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0709113-093116
► This research discusses the reaction of a manager to voluntary disclosure after the execution of Rule 10b-5. I use backward induction to explain the strategic…
(more)
▼ This research discusses the reaction of a manager to voluntary disclosure after the execution of Rule 10b-5. I use backward induction to explain the strategic decisions within a firm concerning financial disclosure. Extensions of the base model examine the interaction of financial disclosure, investor relations, and managerial incentive to disclose, such as demonstrating a signaling
game between a manager and investors for financial disclosure. I provide clues to distinguish between the honesty of companies and managers over the policy of voluntary disclosure. The path to screen managers' behavior does exist, but it only becomes a question of timing to find and take reaction.
This research first focuses on discussing voluntary disclosure under Rule 10b-5 and explains financial disclosure concerning strategic decisions within a firm. It demonstrates how Rule 10b-5 of the 1934 Securities and Exchange Act fails to induce voluntary disclosure. I separate firms by their method of raising external capital and analyze the decisions those firms make beyond the Ruleâs execution, and then I show that company owners may deter the disclosure policy for their financing decisions. While there is a link between the way in which firms raise external capital and the information which the firms disclose, I further present that the transformed reaction of disclosure is the signal for the company's financing policy.
This research next discusses the reaction of investors to voluntary disclosure after information is in fact disclosed. I explain decisions concerning financial disclosure by which investors may cede the strategic role to managers. It is clear to see why the disclosure of information regulated by Rule 10b-5 results in noise for investment as well as different factors inherited by investors. I draw up the interaction of financial disclosure, the behavior of investors, and managerial incentive to disclose. The extra requirement for information shifts the positions of investors towards managers concerning the policy of financial disclosure.
After all factors (investor preference, prior belief, and information/endowment) discussed are taken into account, any financing action by investors is supposed to be rooted in a particular social context. To fully understand a given disclosure of news, the reaction of investors to believing such a disclosure must therefore be situated within the framework of the non-discrete relations that encompass it.
Advisors/Committee Members: Chun-An Li (chair), Victor W. Liu (committee member), Wanncherng Wang (committee member), David S. Shyu (chair), Anlin Chen (chair), Roger C. Y. Chen (chair).
Subjects/Keywords: perfect Bayesian equilibrium; signaling; investor relations; financial disclosure; game
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Manager
APA (6th Edition):
Chen, C. (2013). A Signaling Game between a Manager and Investors for Financial Disclosure. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0709113-093116
Chicago Manual of Style (16th Edition):
Chen, Chen-wen. “A Signaling Game between a Manager and Investors for Financial Disclosure.” 2013. Doctoral Dissertation, NSYSU. Accessed April 10, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0709113-093116.
MLA Handbook (7th Edition):
Chen, Chen-wen. “A Signaling Game between a Manager and Investors for Financial Disclosure.” 2013. Web. 10 Apr 2021.
Vancouver:
Chen C. A Signaling Game between a Manager and Investors for Financial Disclosure. [Internet] [Doctoral dissertation]. NSYSU; 2013. [cited 2021 Apr 10].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0709113-093116.
Council of Science Editors:
Chen C. A Signaling Game between a Manager and Investors for Financial Disclosure. [Doctoral Dissertation]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0709113-093116
University of Rochester
4.
Kedziora, Jeremy Thomas.
Organizing for violence.
Degree: PhD, 2013, University of Rochester
URL: http://hdl.handle.net/1802/26629
► This dissertation consists of three essays that analyze the emergence of the state and how the logic of its organization shapes its major pursuit: war.…
(more)
▼ This dissertation consists of three essays that
analyze the emergence of the state and how the logic of its
organization shapes its major pursuit: war. In the first essay, I
develop a theory of state formation in which a sovereign must
delegate policy implementation to local barons, aware that doing so
empowers those barons to act against him. I find that militarily
weak sovereigns construct federations by relying on barons whose
policy preferences mirror their own while militarily strong
sovereigns construct centralized states by relying on barons whose
policy preferences are far from their own. My second essay analyzes
how rulers formulate war aims given the need to bargain with
subjects over wartime resource allocation. I find that the
relationship between the effect of military victory on the future
course of the war and the effect of military victory on diplomacy
emerges as the central factor influencing both subject resolve and
ruler war aims. This logic suggests a number of important
substantive results, for example, that democracies extract more
resources during capital intensive wars while autocracies extract
more resources during labor intensive wars, and that material
inequality limits war aims. In the final essay I leverage the
importance of bargaining between ruler and subject in wartime
resource allocation to advance a Bayesian methodology for measuring
the uncertainty facing states involved in disputes over the
war-fighting capabilities of their opponents. I then analyze the
probability of a militarized interstate dispute escalating to war
and find that it increases greatly in the presence of uncertainty
over capabilities/resolve.
Subjects/Keywords: Bayesian statistics; Dynamic game; Political development; State formation; War termination.
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Manager
APA (6th Edition):
Kedziora, J. T. (2013). Organizing for violence. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/26629
Chicago Manual of Style (16th Edition):
Kedziora, Jeremy Thomas. “Organizing for violence.” 2013. Doctoral Dissertation, University of Rochester. Accessed April 10, 2021.
http://hdl.handle.net/1802/26629.
MLA Handbook (7th Edition):
Kedziora, Jeremy Thomas. “Organizing for violence.” 2013. Web. 10 Apr 2021.
Vancouver:
Kedziora JT. Organizing for violence. [Internet] [Doctoral dissertation]. University of Rochester; 2013. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1802/26629.
Council of Science Editors:
Kedziora JT. Organizing for violence. [Doctoral Dissertation]. University of Rochester; 2013. Available from: http://hdl.handle.net/1802/26629
Virginia Tech
5.
Yang, Tsung-Han.
Essays on Applied Game Theory and Public Economics.
Degree: PhD, Economics, 2018, Virginia Tech
URL: http://hdl.handle.net/10919/82963
► The first chapter presents a theoretical model of electoral competition where two parties can increase campaign contributions by choosing policies benefiting a significant interest group.…
(more)
▼ The first chapter presents a theoretical model of electoral competition where two parties can increase campaign contributions by choosing policies benefiting a significant interest group. However, such decision will shrink their hardcore vote base where voters are well informed about the policy. The parties can then allocate the funds between campaigning and personal wealth. Different from the core voters, independent voters can be attracted by advertisements funded by campaign spending. Using a multi-stage extensive form
game, I investigate how electoral competition interacts with diversions and policy distortions. My result shows that a higher level of electoral competition helps mitigate policy distortions but prompts the parties to divert more funds.
Perfectly informed signal senders need to communicate their true type (productivity or ability) which is often private information to potential receivers. While tests are commonly used as measures of applicants' productivity, the accuracy of them has been questioned. Beginning with the framework of a two-type labor market signaling
game, the second chapter investigates how tests of limited reliability affect the nature of equilibria in signaling games with asymmetric information. Our results show that, if a test is inaccurate and costly, only pooling PBE exists given certain conditions. Different forms of test inaccuracy may allow a separating PBE to exist. We also study the case of three types and find different PBEs.
The central issue of siting noxious facilities is that the host community absorbs potential costs, while all others can share the benefits without paying as much. The third chapter presents a modified Clarke mechanism to facilitate the siting decision, taking into account all residents' strategies. Suppose that the social planner is able to reasonably estimate the possible costs, depending on the host location, to each resident created by the facility. Our proposed Clarke mechanism is characterized by strategy-proofness and yields an efficient siting outcome. The issue of budget imbalance is mitigated when the compensation scheme is fully funded with the tax revenue based on the benefits. We then use a simple example to show that a weighted version of the Clarke mechanism may yield a different outcome.
Advisors/Committee Members: Tideman, Thorwald Nicolaus (committeechair), Bahel, Eric A. (committeechair), Smith, Alexander Charles (committee member), Ball, Sheryl B. (committee member).
Subjects/Keywords: Election; Political Competition; Interest Group; Game Theory; Signaling Game; Collective Choice; Pivotal Mechanism; Perfect Bayesian Equilibrium
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APA ·
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Manager
APA (6th Edition):
Yang, T. (2018). Essays on Applied Game Theory and Public Economics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82963
Chicago Manual of Style (16th Edition):
Yang, Tsung-Han. “Essays on Applied Game Theory and Public Economics.” 2018. Doctoral Dissertation, Virginia Tech. Accessed April 10, 2021.
http://hdl.handle.net/10919/82963.
MLA Handbook (7th Edition):
Yang, Tsung-Han. “Essays on Applied Game Theory and Public Economics.” 2018. Web. 10 Apr 2021.
Vancouver:
Yang T. Essays on Applied Game Theory and Public Economics. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/10919/82963.
Council of Science Editors:
Yang T. Essays on Applied Game Theory and Public Economics. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82963
University of Akron
6.
Hughes, Matthew.
Price Signaling in a Two-Market Duopoly.
Degree: MS, Applied Mathematics, 2016, University of Akron
URL: http://rave.ohiolink.edu/etdc/view?acc_num=akron1458311593
► Within any industry, firms typically produce related products over multiple subsequent periods in an attempt to build consumer loyalty and achieve continued sales. Apple releases…
(more)
▼ Within any industry, firms typically produce related
products over multiple subsequent periods in an attempt to build
consumer loyalty and achieve continued sales. Apple releases new
iPhones and car companies produce new models every year, relying on
consumers believing each new product is of high quality. Firms rely
on the spillover effects from previous markets, where firms are
able to more easily demonstrate their product's quality to the
consumers before purchase. The goal is to find a range of prices
which allows the high quality firm to distinguish its type to
consumers via the price p
H and if spillover
effects in subsequent markets can occur. We look at a duopoly of
two firms, of high and low qualities, where each firm produces a
product in an initial market and a second, related product in a
subsequent market. Using each firm's expected profits, based on
Bayesian probabilities, we analyze a firm's mimicking strategy to
find the range of p
H that allows for a
separating equilibrium and spillover effects. In a second market
where firms are the same qualities as in the first market, the high
quality firm experiences spillover effects and can signal its
quality with a lower price than in the first market. When firms
change qualities in the second market, no spillover effect occurs
and the newly high quality firm must increase
p
H from the previous market in order to
separate.
Advisors/Committee Members: Renna, Francesco (Advisor), Forcey, Stefan (Advisor).
Subjects/Keywords: Applied Mathematics; Economic Theory; Economics; Management; Mathematics; signaling; price; duopoly; game theory; economics; mathematics; equilibrium; bayesian game
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APA ·
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Manager
APA (6th Edition):
Hughes, M. (2016). Price Signaling in a Two-Market Duopoly. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1458311593
Chicago Manual of Style (16th Edition):
Hughes, Matthew. “Price Signaling in a Two-Market Duopoly.” 2016. Masters Thesis, University of Akron. Accessed April 10, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=akron1458311593.
MLA Handbook (7th Edition):
Hughes, Matthew. “Price Signaling in a Two-Market Duopoly.” 2016. Web. 10 Apr 2021.
Vancouver:
Hughes M. Price Signaling in a Two-Market Duopoly. [Internet] [Masters thesis]. University of Akron; 2016. [cited 2021 Apr 10].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1458311593.
Council of Science Editors:
Hughes M. Price Signaling in a Two-Market Duopoly. [Masters Thesis]. University of Akron; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1458311593
University of Rochester
7.
Zhang, Ruyuan (1988 - ); Tadin, Duje.
Computational and psychophysical mechanisms of brain
plasticity induced by perceptual learning and action video game
play.
Degree: PhD, 2016, University of Rochester
URL: http://hdl.handle.net/1802/30940
► Recent developments in brain science inspire increasing interests in understanding how our brain dynamically learns to perform different tasks. Investigations on brain plasticity shed new…
(more)
▼ Recent developments in brain science inspire
increasing interests in understanding how
our brain dynamically
learns to perform different tasks. Investigations on brain
plasticity
shed new light to the mechanisms of different basic
brain functions, and they also provide
unique knowledge for
applications in the domain of brain fitness and rehabilitation. In
this thesis, I consider two regimes of brain plasticity induced by
behavioral training –
visual perceptual learning and action video
game play. First, I introduce a novel motion
perceptual learning
task and describe distinct transfer patterns obtained after
training on
the small low contrast (SLC) and the large high
contrast (LHC) moving textures.
Surprisingly, training on LHC
stimuli impaired performance on SLC stimuli. By
combining two
well-known cortical computations – the center-surround and the
gain
control mechanisms, a simple computational framework explains
the learning effects as
consequences of alteration in the spatial
extent of excitation and inhibition filters. Next,
inferences were
made about the cortical locus of motion perceptual learning by
employing component and pattern motion stimuli, which have been
well documented in
linking to motion processing in V1 and MT,
respectively. Results strongly support the
notion that learning
takes place in MT rather in V1. Third, I demonstrated that a novel
illusion measured in visual periphery revealed a strong centrifugal
bias of velocity
perception, and such a prior was supposed to
originate from long-term exposure to optical
flow stimuli. Then,
the topic was switched from low-level visual perceptual learning to
a
more comprehensive training regime - playing action video games.
In a series of
experiments, I tested the possibility that action
video game experience boosts general
learning ability. This
approach allows us to resolve the long-standing question of why
action video game play generates enhanced performance in so many
cognitive tasks.
Overall, these studies suggest that our brain is
highly malleable and highlight behavioral
training as a powerful
way to enhance our perceptual and cognitive
functions.
Subjects/Keywords: Action video game; Bayesian inference; Cognitive training; Motion perception; Perceptual learning; Visual psychophysics
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhang, Ruyuan (1988 - ); Tadin, D. (2016). Computational and psychophysical mechanisms of brain
plasticity induced by perceptual learning and action video game
play. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30940
Chicago Manual of Style (16th Edition):
Zhang, Ruyuan (1988 - ); Tadin, Duje. “Computational and psychophysical mechanisms of brain
plasticity induced by perceptual learning and action video game
play.” 2016. Doctoral Dissertation, University of Rochester. Accessed April 10, 2021.
http://hdl.handle.net/1802/30940.
MLA Handbook (7th Edition):
Zhang, Ruyuan (1988 - ); Tadin, Duje. “Computational and psychophysical mechanisms of brain
plasticity induced by perceptual learning and action video game
play.” 2016. Web. 10 Apr 2021.
Vancouver:
Zhang, Ruyuan (1988 - ); Tadin D. Computational and psychophysical mechanisms of brain
plasticity induced by perceptual learning and action video game
play. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1802/30940.
Council of Science Editors:
Zhang, Ruyuan (1988 - ); Tadin D. Computational and psychophysical mechanisms of brain
plasticity induced by perceptual learning and action video game
play. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/30940
Penn State University
8.
Basu, Pathikrit.
Essays in Information Economics.
Degree: 2017, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/14316pub143
► This dissertation consists of three chapters. The chapters study issues pertaining to optimal use of information under memory constraints, boundedly rational learning, belief updating after…
(more)
▼ This dissertation consists of three chapters. The chapters study issues pertaining to optimal use of information under memory constraints, boundedly rational learning, belief updating after events of surprise (zero-probability) and scenarios of persuasion involving strategic design of information
In Chapter 1, we study the process of decision-making and inference by a single, boundedly rational, economic agent. The agent chooses either a safe or a risky alternative in each period after receiving a signal about the state of the world in that period. The state of the world is changing according to a Markov process with some degree of persistence across time. The agent's decision rule is expressed as a finite-state automaton with a fixed number of memory states. Updating on the basis of the received signal is, for such an agent, making a transition from one state to another. The finiteness of the number of automaton states automatically suggests that beliefs are classified into categories and a signal causes a (possible) change in the category on the basis of which the next action is taken. The problem is one in partially-observable Markov decision processes (POMDP). We characterise the structure of the optimal decision rule in this setting and show how its properties pin down the categories of beliefs and explain some observed, seemingly irrational behaviour. We then specialise to a fixed state of the world, weaken the optimality requirement to admissibility and derive the staircase structure of the admissible automaton. Finally we examine the question of randomisation in the design of an automaton, propose a measure of the extent of such randomisation and show that there exists a minimal degree of randomisation for the set of automata implementing a given strategy. We show that if the number of signals is large, virtually no randomisation is required.
In Chapter 2, we study the problem of updating beliefs by interpreting it as a choice problem (selecting a posterior from a set of admissible posteriors) with a reference point (prior). We use AGM belief revision to define the support of admissible posteriors after observing zero probability events and investigate two classes of updating rules for probabilities : 1) "minimum distance" updating rules which select the posterior closest to the prior by some metric. 2) "lexicographic" updating rules where posteriors are given by a lexicographic probability system. For the former, we show
bayesian updating as a special case and for specific AGM belief revisions, provide necessary and sufficient conditions for a minimum distance representation. For the latter, we show that an updating rule is lexicographic if and only if it is
bayesian, AGM-consistent and satisfies a weak form of path independence. Lastly, we study a sub-class of lexicographic updating rules, which we call "support-dependent" rules. We show that such updating rules have a minimum distance representation.
In Chapter 3, we study a dynamic
Bayesian persuasion framework in a finite horizon setting consisting…
Advisors/Committee Members: Kalyan Chatterjee, Dissertation Advisor/Co-Advisor, Kalyan Chatterjee, Committee Chair/Co-Chair, Vijay Krishna, Committee Member, Neil Wallace, Committee Member, Chloe Jeanne Tergiman, Outside Member.
Subjects/Keywords: Information Economics; Bayesian Persuasion; Learning; Bounded Rationality; Decision Theory; Applied Game Theory; Belief Revision
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APA ·
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MLA ·
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Manager
APA (6th Edition):
Basu, P. (2017). Essays in Information Economics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14316pub143
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Basu, Pathikrit. “Essays in Information Economics.” 2017. Thesis, Penn State University. Accessed April 10, 2021.
https://submit-etda.libraries.psu.edu/catalog/14316pub143.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Basu, Pathikrit. “Essays in Information Economics.” 2017. Web. 10 Apr 2021.
Vancouver:
Basu P. Essays in Information Economics. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 10].
Available from: https://submit-etda.libraries.psu.edu/catalog/14316pub143.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Basu P. Essays in Information Economics. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14316pub143
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Columbia University
9.
Puente, Manuel.
Laboratory Experiments on Belief Formation and Cognitive Constraints.
Degree: 2020, Columbia University
URL: https://doi.org/10.7916/d8-2k74-ab57
► In this dissertation I study how different cognitive constraints affect individuals' belief formation process, and the consequences of these constraints on behavior. In the first…
(more)
▼ In this dissertation I study how different cognitive constraints affect individuals' belief formation process, and the consequences of these constraints on behavior. In the first chapter I present laboratory experiments designed to test whether subjects' inability to perform more rounds of iterated deletion of dominated strategies is due to cognitive limitations, or to higher order beliefs about the rationality of others. I propose three alternative explanations for why subjects might not be doing more iterations of dominance reasoning. First, they might have problems computing iterated best responses, even when doing so does not require higher order beliefs. Second, subjects might face limitations in their ability to generate higher order beliefs. Finally, subjects' behavior might not be limited by cognitive limitations, but rather justified by their beliefs about what others will play. I design two experiments in order to test these hypothesis. Findings from the first experiment suggest that most subjects' strategies (about 66%) are not the result of their inability to compute iterated best responses. I then run a second experiment, finding that about 70% of the subjects' behavior come from limitations in their ability to iterate best responses and generate higher order beliefs at the same time, while for the other 30% their strategies are a best response to higher order beliefs that others are not rational. In the second chapter I study whether a Sender in a Bayesian Persuasion setting (Kamenica and Gentzkow, 2011) can benefit from behavioral biases in the way Receivers update their beliefs, by choosing how to communicate information. I present three experiments in order to test this hypothesis, finding that Receivers tend to overestimate the probability of a state of the world after receiving signals that are more likely in that state. Because of this bias, Senders' gains from persuasion can be increased by ``muddling the water'' and making it hard for Receivers to find the correct posteriors. This contradicts the theoretical result that states that communicating using signal structures is equivalent to communicating which posteriors these structures induce. Through analysis of the data and robustness experiments, I am able to discard social preferences or low incentives as driving my results, leaving base-rate neglect as a more likely explanation. The final chapter studies whether sensory bottlenecks, as oppose to purely computational cognitive constraints, are important factors affecting subjects' inference in an experiment that mimics financial markets. We show that providing redundant visual and auditory cues about the liquidity of a stock significantly improves performance, corroborating previous findings in neuroscience of multi-sensory integration, which could have policy implications in economically relevant situation.
Subjects/Keywords: Economics; Belief and doubt; Cognition – Research; Dominance (Psychology); Bayesian statistical decision theory; Game theory
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APA (6th Edition):
Puente, M. (2020). Laboratory Experiments on Belief Formation and Cognitive Constraints. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-2k74-ab57
Chicago Manual of Style (16th Edition):
Puente, Manuel. “Laboratory Experiments on Belief Formation and Cognitive Constraints.” 2020. Doctoral Dissertation, Columbia University. Accessed April 10, 2021.
https://doi.org/10.7916/d8-2k74-ab57.
MLA Handbook (7th Edition):
Puente, Manuel. “Laboratory Experiments on Belief Formation and Cognitive Constraints.” 2020. Web. 10 Apr 2021.
Vancouver:
Puente M. Laboratory Experiments on Belief Formation and Cognitive Constraints. [Internet] [Doctoral dissertation]. Columbia University; 2020. [cited 2021 Apr 10].
Available from: https://doi.org/10.7916/d8-2k74-ab57.
Council of Science Editors:
Puente M. Laboratory Experiments on Belief Formation and Cognitive Constraints. [Doctoral Dissertation]. Columbia University; 2020. Available from: https://doi.org/10.7916/d8-2k74-ab57
Arizona State University
10.
Reichenberg, Raymond E.
The Impact of Information Quantity and Quality on Parameter
Estimation for a Selection of Dynamic Bayesian Network Models with
Latent Variables.
Degree: Family and Human Development, 2018, Arizona State University
URL: http://repository.asu.edu/items/50531
► Dynamic Bayesian networks (DBNs; Reye, 2004) are a promising tool for modeling student proficiency under rich measurement scenarios (Reichenberg, in press). These scenarios often present…
(more)
▼ Dynamic Bayesian networks (DBNs; Reye, 2004) are a
promising tool for modeling student proficiency under rich
measurement scenarios (Reichenberg, in press). These scenarios
often present assessment conditions far more complex than what is
seen with more traditional assessments and require assessment
arguments and psychometric models capable of integrating those
complexities. Unfortunately, DBNs remain understudied and their
psychometric properties relatively unknown. If the apparent
strengths of DBNs are to be leveraged, then the body of literature
surrounding their properties and use needs to be expanded upon. To
this end, the current work aimed at exploring the properties of
DBNs under a variety of realistic psychometric conditions. A
two-phase Monte Carlo simulation study was conducted in order to
evaluate parameter recovery for DBNs using maximum likelihood
estimation with the Netica software package. Phase 1 included a
limited number of conditions and was exploratory in nature while
Phase 2 included a larger and more targeted complement of
conditions. Manipulated factors included sample size, measurement
quality, test length, the number of measurement occasions. Results
suggested that measurement quality has the most prominent impact on
estimation quality with more distinct performance categories
yielding better estimation. While increasing sample size tended to
improve estimation, there were a limited number of conditions under
which greater samples size led to more estimation bias. An
exploration of this phenomenon is included. From a practical
perspective, parameter recovery appeared to be sufficient with
samples as low as N = 400 as long as measurement quality was not
poor and at least three items were present at each measurement
occasion. Tests consisting of only a single item required
exceptional measurement quality in order to adequately recover
model parameters. The study was somewhat limited due to potentially
software-specific issues as well as a non-comprehensive collection
of experimental conditions. Further research should replicate and,
potentially expand the current work using other software packages
including exploring alternate estimation methods (e.g., Markov
chain Monte Carlo).
Subjects/Keywords: Educational tests &; measurements; Educational psychology; Quantitative psychology; dynamic Bayesian networks; educational measurement; game-based assessment
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APA ·
Chicago ·
MLA ·
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APA (6th Edition):
Reichenberg, R. E. (2018). The Impact of Information Quantity and Quality on Parameter
Estimation for a Selection of Dynamic Bayesian Network Models with
Latent Variables. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/50531
Chicago Manual of Style (16th Edition):
Reichenberg, Raymond E. “The Impact of Information Quantity and Quality on Parameter
Estimation for a Selection of Dynamic Bayesian Network Models with
Latent Variables.” 2018. Doctoral Dissertation, Arizona State University. Accessed April 10, 2021.
http://repository.asu.edu/items/50531.
MLA Handbook (7th Edition):
Reichenberg, Raymond E. “The Impact of Information Quantity and Quality on Parameter
Estimation for a Selection of Dynamic Bayesian Network Models with
Latent Variables.” 2018. Web. 10 Apr 2021.
Vancouver:
Reichenberg RE. The Impact of Information Quantity and Quality on Parameter
Estimation for a Selection of Dynamic Bayesian Network Models with
Latent Variables. [Internet] [Doctoral dissertation]. Arizona State University; 2018. [cited 2021 Apr 10].
Available from: http://repository.asu.edu/items/50531.
Council of Science Editors:
Reichenberg RE. The Impact of Information Quantity and Quality on Parameter
Estimation for a Selection of Dynamic Bayesian Network Models with
Latent Variables. [Doctoral Dissertation]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/50531
11.
Di Gaetano, Luigi.
Essays in Applied Game Theory.
Degree: 2013, Università degli Studi di Catania
URL: http://hdl.handle.net/10761/1358
► This Thesis is a collection of three essays on applications of game theory to contexts such as licence and patents and, in general, to cultural…
(more)
▼ This Thesis is a collection of three essays on applications of game theory to contexts such as licence and patents and, in general, to cultural products and cultural industries.
The first paper develops a model which tries to analyse incentives of corporate donations to open source. Opens source software (OSS) is developed by firms and individuals, and distributed for free. However, these contributions can hardly be explained by the usual considerations, such as the well known warm glow.
In the paper we develop the idea that companies, instead, may use open source software (OSS) as a strategic variable, in a market in which hardware and software are complements.
Hardware firms may be willing to develop OSS in order to decrease the market power of the software producer, in order to charge a greater mark – up.
Moreover, due to the characteristics of information and public good of OSS, it is very interesting to study the welfare effects of strategic interactions and public intervention to support OSS.
Results are several, positive (private) contributions are possible; although, they are not socially optimal. OSS availability has a positive impact on hardware firms' profits and prices, and on social welfare. Software monopolist's profits and price decrease when OSS is available. The effect on the price of the hardware-closed source bundle depends on model parameters: when demand own-price elasticity is relatively high, it increases with respect to the case in which OSS is not developed.
In the second paper, we develop a similar topic by further consider the field of intellectual property. In our vision we think that incomplete information may affect strategic interactions in a system in which patent assessment is not perfectly reliable.
In this model we try to define patent complexity as the degree of difficulty in properly understanding the boundaries (breath) of a patent. Patent complexity determines the degree of spillovers of information released to the potential entrant.
We build a Bayesian game and try to understand if firms can exploit asymmetric information and patent complexity to avoid entry and for other competitive behaviours.
Results are several. Entry deterrence is possible for certain values of parameters. There is an incentive in increasing the complexity, although, there exists an upper-bound which is inefficient, for the incumbent, to cross; this upper – bound is determined by the credibility of the strategic threat.
In the last paper we continue using a Bayesian approach to derive a game theoretic model. We investigate the selection of artists by a gallery with adverse selection and moral hazard and derive an optimal mechanism for cultural industries.
The model accounts for the possibility that artists' output is not homogeneous. Moreover, we think that being recognised as innovative by a system of gate-keepers could affect the price as well. These two characteristics create a market power, which can be exploited by galleries.
We study the relationship between innovation and…
Subjects/Keywords: Area 13 - Scienze economiche e statistiche; Bayesian game theory, cultural economics, open source
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APA (6th Edition):
Di Gaetano, L. (2013). Essays in Applied Game Theory. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/1358
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Di Gaetano, Luigi. “Essays in Applied Game Theory.” 2013. Thesis, Università degli Studi di Catania. Accessed April 10, 2021.
http://hdl.handle.net/10761/1358.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Di Gaetano, Luigi. “Essays in Applied Game Theory.” 2013. Web. 10 Apr 2021.
Vancouver:
Di Gaetano L. Essays in Applied Game Theory. [Internet] [Thesis]. Università degli Studi di Catania; 2013. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/10761/1358.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Di Gaetano L. Essays in Applied Game Theory. [Thesis]. Università degli Studi di Catania; 2013. Available from: http://hdl.handle.net/10761/1358
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
12.
Crotti, Stefania.
Modeling Players Personality in General Game Playing
.
Degree: Chalmers tekniska högskola / Institutionen för data och informationsteknik, 2018, Chalmers University of Technology
URL: http://hdl.handle.net/20.500.12380/300299
► Artificial agents’ skills need to become more relatable to humans’, and one approach to solve this problem would be to associate a personality to the…
(more)
▼ Artificial agents’ skills need to become more relatable to humans’, and one approach
to solve this problem would be to associate a personality to the agents. When
games are used as a framework, General Game Playing (GGP) provides an unbiased
environment where new games are played without any prior knowledge of the rules,
and without applying any game-dependent heuristic. This thesis is expecting to infer
preferences from human played games, depending on the personality the players
recognised themselves in. The artificial player is aided with a Monte Carlo Tree
Search algorithm with tunable parameters, which associate evaluation values to each
move, consequently selecting the next state. The optimal set of parameters to fit the
human gameplay is found with the subsidy of a Genetic Algorithm where individuals
are represented as sets of parameters themselves. This approach is backed up with
a Bayesian probability model, and, finally, the outputted sets of parameters are
evaluated to determine if the artificial gamer has indeed learnt to behave accordingly
to a certain personality. After an extensive research on personality models has been
carried out to find a suitable one for the amount of data expected to be collected,
the choice has fallen over the Hippocrates’-Galen Four Temperaments. The results
however hint to the conclusion that a different model might have been easier to
be fit. Although the results are not astonishing, this thesis can be considered as a
first stepping stone into personality model fitting through Monte Carlo Tree Search
parameters tuning.
Subjects/Keywords: General Game Playing;
Monte Carlo Tree Search;
Genetic Algorithm;
Personality Mapping;
Bayesian Modeling
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APA ·
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CSE |
Export
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Manager
APA (6th Edition):
Crotti, S. (2018). Modeling Players Personality in General Game Playing
. (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300299
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Crotti, Stefania. “Modeling Players Personality in General Game Playing
.” 2018. Thesis, Chalmers University of Technology. Accessed April 10, 2021.
http://hdl.handle.net/20.500.12380/300299.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Crotti, Stefania. “Modeling Players Personality in General Game Playing
.” 2018. Web. 10 Apr 2021.
Vancouver:
Crotti S. Modeling Players Personality in General Game Playing
. [Internet] [Thesis]. Chalmers University of Technology; 2018. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/20.500.12380/300299.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Crotti S. Modeling Players Personality in General Game Playing
. [Thesis]. Chalmers University of Technology; 2018. Available from: http://hdl.handle.net/20.500.12380/300299
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Western Ontario
13.
Rooney, Terrence Adam.
Characterizing the Value and Effect of Perceptiveness in Various Game-Theoretic Settings.
Degree: 2020, University of Western Ontario
URL: https://ir.lib.uwo.ca/etd/7256
► This thesis investigates the value and effect that perceptiveness has in three game-theoretic settings. I consider a player to be expert if they know the…
(more)
▼ This thesis investigates the value and effect that perceptiveness has in three game-theoretic settings. I consider a player to be expert if they know the value of a particular payoff-relevant parameter in the models I study. If the player does not know such value, I consider the player to be inexpert. A player is perceptive if they know with certainty whether their opponent is expert. Otherwise, the player is imperceptive. The goal of this thesis is to provide insight regarding the potential value and effect that perceptiveness has in the game-theoretic settings I study.
The first model I consider emulates a two-player, one-round game of poker. The second model I investigate is a two-player market-entry game. The third model I study depicts a two-player market-entry game that is influenced by an information designer who aims to maximize producer surplus. In each model, I consider distinct information structures, which vary in terms of the players' levels of expertise and perceptiveness. In the first two models, I solve for the Bayesian Nash equilibria of each game and compute each agent's expected payoff. Then, by comparing the equilibrium action and expected payoff of an agent when perceptive to that when imperceptive, holding all else constant, I determine the agent's value of perceptiveness and the effect that perceptiveness has on the agent's equilibrium strategy. In the third model, I solve for the information designer's attainable decision rules, then determine which of the attainable decision rules maximizes producer surplus.
Among other insights, I find that perceptiveness is generally valuable, whether that be from the perspective of a poker player, a player considering market-entry, or an information designer in a market-entry game. Furthermore, under an equilibrium that treats the market-entry players as symmetrically as possible, the value of perceptiveness is positive when both players have a sufficiently high probability of being expert; whereas, the value of perceptiveness is zero when either player is inexpert with a sufficiently high probability. Also, perceptiveness is generally less beneficial to players considering market entry than it is to players playing poker.
Subjects/Keywords: Perceptiveness; game theory; market-entry; poker; Bayesian games; value of information; Economic Theory
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Rooney, T. A. (2020). Characterizing the Value and Effect of Perceptiveness in Various Game-Theoretic Settings. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/7256
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Rooney, Terrence Adam. “Characterizing the Value and Effect of Perceptiveness in Various Game-Theoretic Settings.” 2020. Thesis, University of Western Ontario. Accessed April 10, 2021.
https://ir.lib.uwo.ca/etd/7256.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Rooney, Terrence Adam. “Characterizing the Value and Effect of Perceptiveness in Various Game-Theoretic Settings.” 2020. Web. 10 Apr 2021.
Vancouver:
Rooney TA. Characterizing the Value and Effect of Perceptiveness in Various Game-Theoretic Settings. [Internet] [Thesis]. University of Western Ontario; 2020. [cited 2021 Apr 10].
Available from: https://ir.lib.uwo.ca/etd/7256.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Rooney TA. Characterizing the Value and Effect of Perceptiveness in Various Game-Theoretic Settings. [Thesis]. University of Western Ontario; 2020. Available from: https://ir.lib.uwo.ca/etd/7256
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Waterloo
14.
Fung, Carol.
Design and Management of Collaborative Intrusion Detection Networks.
Degree: 2013, University of Waterloo
URL: http://hdl.handle.net/10012/7490
► In recent years network intrusions have become a severe threat to the privacy and safety of computer users. Recent cyber attacks compromise a large number…
(more)
▼ In recent years network intrusions have become a severe threat to the privacy and safety of computer users. Recent cyber attacks compromise a large number of hosts to form botnets. Hackers not only aim at harvesting private data and identity information from compromised nodes, but also use the compromised nodes to launch attacks such as distributed denial-of-service (DDoS) attacks.
As a counter measure, Intrusion Detection Systems (IDS) are used to identify intrusions by comparing observable behavior against suspicious patterns.
Traditional IDSs monitor computer activities on a single host or network traffic in a sub-network. They do not have a global view of intrusions and are not effective in detecting fast spreading attacks, unknown, or new threats. In turn, they can achieve better detection accuracy through collaboration. An Intrusion Detection Network (IDN) is such a collaboration network allowing IDSs to exchange information with each other and to benefit from the collective knowledge and experience shared by others. IDNs enhance the overall accuracy of intrusion assessment as well as the ability to detect new intrusion types.
Building an effective IDN is however a challenging task. For example, adversaries may compromise some IDSs in the network and then leverage the compromised nodes to send false information, or even attack others in the network, which can compromise the efficiency of the IDN. It is, therefore, important for an IDN to detect and isolate malicious insiders. Another challenge is how to make efficient intrusion detection assessment based on the collective diagnosis from other IDSs. Appropriate selection of collaborators and incentive-compatible resource management in support of IDSs' interaction with others are also key challenges in IDN design.
To achieve efficiency, robustness, and scalability, we propose an IDN architecture and especially focus on the design of four of its essential components, namely, trust management, acquaintance management, resource management, and feedback aggregation. We evaluate our proposals and compare them with prominent ones in the literature and show their superiority using several metrics, including efficiency, robustness, scalability, incentive-compatibility, and fairness. Our IDN design provides guidelines for the deployment of a secure and scalable IDN where effective collaboration can be established between IDSs.
Subjects/Keywords: Intrusion Detection Network; Collaboration network; Computer Security; Network Management; Trust Management; Resource Management; Game Theory; Bayesian Decision
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APA ·
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MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Fung, C. (2013). Design and Management of Collaborative Intrusion Detection Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7490
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Fung, Carol. “Design and Management of Collaborative Intrusion Detection Networks.” 2013. Thesis, University of Waterloo. Accessed April 10, 2021.
http://hdl.handle.net/10012/7490.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Fung, Carol. “Design and Management of Collaborative Intrusion Detection Networks.” 2013. Web. 10 Apr 2021.
Vancouver:
Fung C. Design and Management of Collaborative Intrusion Detection Networks. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/10012/7490.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Fung C. Design and Management of Collaborative Intrusion Detection Networks. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7490
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Université de Grenoble
15.
Synnaeve, Gabriel.
Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel : Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI.
Degree: Docteur es, Mathématiques, 2012, Université de Grenoble
URL: http://www.theses.fr/2012GRENM075
► Cette thèse explore l'utilisation des modèles bayésiens dans les IA de jeux vidéo multi-joueurs, particulièrement l'IA des jeux de stratégie en temps réel (STR). Les…
(more)
▼ Cette thèse explore l'utilisation des modèles bayésiens dans les IA de jeux vidéo multi-joueurs, particulièrement l'IA des jeux de stratégie en temps réel (STR). Les jeux vidéo se situent entre la robotique et la simulation totale, car les autres joueurs ne sont pas simulés, et l'IA n'a pas de contrôle sur la simulation. Les jeux de STR demandent simultanément d'effectuer des actions reactives (contrôle d'unités) et de prendre des décisions stratégiques (technologiques, économiques) et tactiques (spatiales, temporelles). Nous avons utilisé la modélisation bayésienne comme une alternative à la logique (booléenne), étant capable de travailler avec des informations incomplètes, et donc incertaines. En effet, la spécification incomplète des comportement "scriptés", ou la spécification incomplète des états possibles dans la recherche de plans, demandent une solution qui peut gérer cette incertitude. L'apprentissage artificiel aide à réduire la complexité de spécifier de tels modèles. Nous montrons que la programmation bayésienne peut intégrer toutes sortes de sources d'incertitudes (états cachés, intentions, stochasticité) par la réalisation d'un joueur de StarCraft complètement robotique. Les distributions de probabilité sont un moyen de transporter, sans perte, l'information que l'on a et qui peut représenter au choix: des contraintes, une connaissance partielle, une estimation de l'espace des états et l'incomplétude du modèle lui-même. Dans la première partie de cette thèse, nous détaillons les solutions actuelles aux problèmes qui se posent lors de la réalisation d'une IA de jeu multi-joueur, en donnant un aperçu des caractéristiques calculatoires et cognitives complexes des principaux types de jeux. En partant de ce constat, nous résumons les catégories transversales de problèmes, et nous introduisons comment elles peuvent être résolues par la modélisation bayésienne. Nous expliquons alors comment construire un programme bayésien en partant de connaissances et d'observations du domaine à travers un exemple simple de jeu de rôle. Dans la deuxième partie de la thèse, nous détaillons l'application de cette approche à l'IA de STR, ainsi que les modèles auxquels nous sommes parvenus. Pour le comportement réactif (micro-management), nous présentons un controleur multi-agent décentralisé et temps réel inspiré de la fusion sensori-motrice. Ensuite, nous accomplissons les adaptation dynamiques de nos stratégies et tactiques à celles de l'adversaire en le modélisant à l'aide de l'apprentissage artificiel (supervisé et non supervisé) depuis des traces de joueurs de haut niveau. Ces modèles probabilistes de joueurs peuvent être utilisés à la fois pour la prédiction des décisions/actions de l'adversaire, mais aussi à nous-même pour la prise de décision si on substitue les entrées par les notres. Enfin, nous expliquons l'architecture de notre joueur robotique de StarCraft, et nous précisions quelques détails techniques d'implémentation. Au delà des modèles et de leurs implémentations, il y a trois contributions principales: la…
Advisors/Committee Members: Bessière, Pierre (thesis director).
Subjects/Keywords: Apprentissage artificiel; Probabilités; Modélisation bayésienne; Modélisation de l'humain; Jeux vidéo; Machine learning; Probabilities; Bayesian modeling; Human modeling; Video game; 004
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Synnaeve, G. (2012). Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel : Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2012GRENM075
Chicago Manual of Style (16th Edition):
Synnaeve, Gabriel. “Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel : Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI.” 2012. Doctoral Dissertation, Université de Grenoble. Accessed April 10, 2021.
http://www.theses.fr/2012GRENM075.
MLA Handbook (7th Edition):
Synnaeve, Gabriel. “Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel : Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI.” 2012. Web. 10 Apr 2021.
Vancouver:
Synnaeve G. Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel : Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI. [Internet] [Doctoral dissertation]. Université de Grenoble; 2012. [cited 2021 Apr 10].
Available from: http://www.theses.fr/2012GRENM075.
Council of Science Editors:
Synnaeve G. Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel : Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI. [Doctoral Dissertation]. Université de Grenoble; 2012. Available from: http://www.theses.fr/2012GRENM075
University of Southern California
16.
Lu, Shijie.
Essays on online advertising markets.
Degree: PhD, Business Administration, 2015, University of Southern California
URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548697/rec/2472
► My dissertation examines novel interactions between consumers and advertisers enabled by Internet platforms with new targeting technologies in online advertising markets. As paid‐search and display…
(more)
▼ My dissertation examines novel interactions between
consumers and advertisers enabled by Internet platforms with new
targeting technologies in online advertising markets. As
paid‐search and display become two most prevalent forms of online
advertising, this dissertation empirically investigates the
consumer and advertiser interactions in these two online
advertising markets. ❧ In my first essay, I examine the determinant
of competition and its impact on click‐volume and cost‐per‐clicks
in paid‐search advertising. I regard each keyword as a market and
measure the competition by the number of ads on the paid‐search
listings. I build an integrative model of the number entrant
advertisers, the realized click‐volume and cost‐per‐clicks of each
entrant. The proposed model is applied to data of keywords
associated with digital camera/video and accessories. Results
indicate that the number of competing ads has a significant impact
on baseline click‐volume, decay factor, and value‐per‐click. These
findings help search advertisers assess the impact of competition
on their entry decisions and advertising profitability. The
proposed framework can also provide profit implications to the
search host regarding two polices: raising the decay factor by
encouraging consumers to engage in more in‐depth
search/click‐through, and providing coupons to advertisers. ❧ As
Internet advertising infomediaries now provide rich
competition‐related information, search advertisers are becoming
more strategic in their keyword decisions. In the second essay, I
explore whether positive or negative spillover effects occur in
advertisers’ keyword entry decisions, which lead to assimilation or
differentiation in their keyword choices. I develop a model of
advertisers’ keyword decisions based on the incomplete‐information
and simultaneous‐move
game with two novel extensions: (i) I allow
the strategic interactions to vary with advertisement positions to
reflect consumers’ top‐down search pattern; and (ii) I infer
potential entrants of a keyword by modeling the advertisers’
keyword consideration process to capture their limited capacity in
analyzing all existing keywords. Using a panel dataset of
laptop‐related keywords mainly used by 28 manufacturers, retailers,
and comparison websites that advertise on Google, I find both
assimilation and differentiation tendencies, which vary across firm
types and the expected ranking of competing firms. A counterfactual
simulation suggests that the more accurate competition information
provided by infomediaries leads to a market‐expansion effect. ❧
Behavioral targeting, displaying personalized advertisements based
on consumers’ past online behaviors, has become a popular practice
in the online advertising industry. Yet, empirical research on
behavioral targeting remains relatively nascent. The final essay
studies the impact of targeting level on three key players (users,
advertisers, and the advertising host) in behaviorally targeted
display advertising. The targeting level is defined as an inverse
scale of the number…
Advisors/Committee Members: Yang, Sha (Committee Chair), Dukes, Anthony (Committee Member), Shum, Matthew (Committee Member), Yang, Botao (Committee Member).
Subjects/Keywords: online advertising; Internet marketing; paid search; competition; generalized second-price auction; entry; incomplete-information game; infomediary; behavioral targeting; Bayesian estimation
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lu, S. (2015). Essays on online advertising markets. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548697/rec/2472
Chicago Manual of Style (16th Edition):
Lu, Shijie. “Essays on online advertising markets.” 2015. Doctoral Dissertation, University of Southern California. Accessed April 10, 2021.
http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548697/rec/2472.
MLA Handbook (7th Edition):
Lu, Shijie. “Essays on online advertising markets.” 2015. Web. 10 Apr 2021.
Vancouver:
Lu S. Essays on online advertising markets. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2021 Apr 10].
Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548697/rec/2472.
Council of Science Editors:
Lu S. Essays on online advertising markets. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548697/rec/2472
Virginia Tech
17.
Schlake, Farimehr.
Optimal Consumer-Centric Delay-Efficient Security Management in Multi-Agent Networks: A Game and Mechanism Design Theoretic Approach.
Degree: PhD, Electrical and Computer Engineering, 2012, Virginia Tech
URL: http://hdl.handle.net/10919/77362
► The main aspiration behind the contributions of this research work is the achievement of simultaneuos delay-efficiency, autonomy, and security through innovative protocol design to address…
(more)
▼ The main aspiration behind the contributions of this research work is the achievement of simultaneuos delay-efficiency, autonomy, and security through innovative protocol design to address complex real-life problems. To achieve this, we take a holistic approach. We apply theoretical mathematical modeling implementing implications of social-economic behavioral characteristics to propose a cross-layer network security protocol. We further complement this approach by a layer-specific focus with implementations at two lower OSI layers.
For the cross-layer design, we suggest the use of
game and mechanism design theories. We design a network-wide consumer-centric and delay-efficient security protocol, DSIC-S. It induces a Dominant Strategy Incentive Compatible equilibrium among all rational and selfish nodes. We prove it is network-wide socially desirable and Pareto optimal. We address resource management and delay-efficiency through synergy of several design aspects. We propose a scenario-based security model with different levels. Furthermore, we design a valuation system to integrate the caused delay in selection of security algorithms at each node without consumer's knowledge of the actual delays. We achieve this by incorporating the consumer's valuation system, in the calculation of the credit transfers through the Vickrey-Clarke-Groves (VCG) payments with Clarke's pivotal rule. As the utmost significant contribution of this work, we solve the revelation theorem's problem of misrepresentation of agents' private information in mechanism design theory through the proposed design. We design an incentive model and incorporate the valuations in the incentives. The simulations validate the theoretical results. They prove the significance of this model and among others show the correlation of the credit transfers to actual delays and security valuations.
In the layer-specific approach for the network-layer, we implement the DSIC-S protocol to extend current IPsec and IKEv2 protocols. IPsec-O and IKEv2-O inherit the strong properties of DSIC-S through the proposed extensions.
Furthermore, we propose yet another layer-specific protocol, the SME_Q, for the datalink layer based on ATM. We develop an extensive simulation software, SMEQSIM, to simulate ATM security negotiations. We simulate the proposed protocol in a comprehensive real-life ATM network and prove the significance of this research work.
Advisors/Committee Members: Mili, Lamine M. (committeechair), Clauer, C. Robert (committee member), Centeno, Virgilio A. (committee member), Chen, Ing-Ray (committee member), Eltoweissy, Mohamed Y. (committee member).
Subjects/Keywords: Incentive Compatibility; Dominant Strategy; IPsec; QoS; ATM; Delay; Security Protocol; Performance; Optimization; Mechanism Design Theory; Game Theory; Bayesian Games
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Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Schlake, F. (2012). Optimal Consumer-Centric Delay-Efficient Security Management in Multi-Agent Networks: A Game and Mechanism Design Theoretic Approach. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77362
Chicago Manual of Style (16th Edition):
Schlake, Farimehr. “Optimal Consumer-Centric Delay-Efficient Security Management in Multi-Agent Networks: A Game and Mechanism Design Theoretic Approach.” 2012. Doctoral Dissertation, Virginia Tech. Accessed April 10, 2021.
http://hdl.handle.net/10919/77362.
MLA Handbook (7th Edition):
Schlake, Farimehr. “Optimal Consumer-Centric Delay-Efficient Security Management in Multi-Agent Networks: A Game and Mechanism Design Theoretic Approach.” 2012. Web. 10 Apr 2021.
Vancouver:
Schlake F. Optimal Consumer-Centric Delay-Efficient Security Management in Multi-Agent Networks: A Game and Mechanism Design Theoretic Approach. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/10919/77362.
Council of Science Editors:
Schlake F. Optimal Consumer-Centric Delay-Efficient Security Management in Multi-Agent Networks: A Game and Mechanism Design Theoretic Approach. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/77362
18.
ZENG YISHU.
ESSAYS ON GAME THEORY.
Degree: 2016, National University of Singapore
URL: http://scholarbank.nus.edu.sg/handle/10635/134917
Subjects/Keywords: large game; general Bayesian game; large stochastic game; equilibrium existence; purification; closed-graph property
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
YISHU, Z. (2016). ESSAYS ON GAME THEORY. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/134917
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
YISHU, ZENG. “ESSAYS ON GAME THEORY.” 2016. Thesis, National University of Singapore. Accessed April 10, 2021.
http://scholarbank.nus.edu.sg/handle/10635/134917.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
YISHU, ZENG. “ESSAYS ON GAME THEORY.” 2016. Web. 10 Apr 2021.
Vancouver:
YISHU Z. ESSAYS ON GAME THEORY. [Internet] [Thesis]. National University of Singapore; 2016. [cited 2021 Apr 10].
Available from: http://scholarbank.nus.edu.sg/handle/10635/134917.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
YISHU Z. ESSAYS ON GAME THEORY. [Thesis]. National University of Singapore; 2016. Available from: http://scholarbank.nus.edu.sg/handle/10635/134917
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
19.
Mishra, Bibhu Prasad.
Customization of Treatment for Cancer Patients: An Engineering Approach.
Degree: PhD, Electrical Engineering, 2018, Texas A&M University
URL: http://hdl.handle.net/1969.1/173798
► Cancer is a disease associated with uncontrolled cell proliferation or reduced cell death, either of which can lead to tumorigenesis. A possible route through which…
(more)
▼ Cancer is a disease associated with uncontrolled cell proliferation or reduced cell death, either
of which can lead to tumorigenesis. A possible route through which cancer can develop is by
breakdowns in the signaling cascade of proteins at the cellular level. Since there are many ways
in which such breakdowns can occur, anti-cancer chemotherapeutic drugs show varying degrees
of efficacy in different patients. Thus, there is an urgent need to personalize the drug treatment
regimen for better response to treatment while trying to reduce the side effects of these drugs. One
way to meet this need would be to try every possible drug combination on cell lines extracted from
a patient and find the combination with the least number of drugs in the mix but providing the best
possible output. Although this method may work it is tedious and time consuming as the number
of combinations increase exponentially with every new drug that is introduced into the repertoire.
First, we consider the problem where the tumor is homogeneous in nature but the mutations
within the mutated cells are unknown. We use Boolean network models with monotonicity properties
to reduce the number of test cases, while still getting the best possible combination with the
least number of drugs in the mix. This approach is efficient both in terms of time required and the
costs involved. This method has also been applied to both simulated and real-world data collected
from fibroplasts using qPCR to demonstrate the usefulness of the method.
Another important area of study in cancer research concerns the heterogeneous nature of tumors.
The clonal evolution of tumors is the driving force leading to heterogeneity in cancer tissues.
Thus, in order to customize the treatment of cancer we need to be able to better model the heterogeneous
subpopulations in the tumor. This can be done by estimating the impact of the various
sub-populations and by modeling the interplay of various sub-populations within the heterogeneous
tumor. Prior works in the literature have already addressed the problems of estimating the
proportion of the sub-populations within a tumor and of modeling the interaction between the various
sub-populations. In this work we present a way to improve the accuracy of the
Bayesian
hierarchical model which helps in estimating the proportional breakup of the tumor population.
Additionally, it looks at ways to use the knowledge of the proportional breakup of tumor subpopulations
and the interplay between the various subpopulations to help customize the treatment
for the patient by making use of evolutionary
game theory. We demonstrate the improvement of
the presented methods as compared to the existing
Bayesian hierarchical model by applying these
techniques to qPCR and fluorescent data.
Finally, the problem becomes more challenging when the nature and the number of the subpopulations
are variable and difficult to estimate. In this work, we present a feasible way to find
the best possible drug combination for such a scenario by training two neural network…
Advisors/Committee Members: Datta, Aniruddha (advisor), Venkatraj, Vijayanagaram S (committee member), Kumar, P R (committee member), Yoon, Byung-Jun (committee member).
Subjects/Keywords: Bioinformatics; Cancer; MAPK; Signaling Pathway; Boolean; Monotonic; Drugs; Heterogeneity; Bayesian; Hierarchical Models; Evolutionary Game Theory; Neural Networks; Data Generation; Fluorescent data; qPCR data
Record Details
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Share »
Record Details
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Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mishra, B. P. (2018). Customization of Treatment for Cancer Patients: An Engineering Approach. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173798
Chicago Manual of Style (16th Edition):
Mishra, Bibhu Prasad. “Customization of Treatment for Cancer Patients: An Engineering Approach.” 2018. Doctoral Dissertation, Texas A&M University. Accessed April 10, 2021.
http://hdl.handle.net/1969.1/173798.
MLA Handbook (7th Edition):
Mishra, Bibhu Prasad. “Customization of Treatment for Cancer Patients: An Engineering Approach.” 2018. Web. 10 Apr 2021.
Vancouver:
Mishra BP. Customization of Treatment for Cancer Patients: An Engineering Approach. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1969.1/173798.
Council of Science Editors:
Mishra BP. Customization of Treatment for Cancer Patients: An Engineering Approach. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173798
Texas A&M University
20.
Mishra, Bibhu Prasad.
Customization of Treatment for Cancer Patients: An Engineering Approach.
Degree: PhD, Electrical Engineering, 2018, Texas A&M University
URL: http://hdl.handle.net/1969.1/173703
► Cancer is a disease associated with uncontrolled cell proliferation or reduced cell death, either of which can lead to tumorigenesis. A possible route through which…
(more)
▼ Cancer is a disease associated with uncontrolled cell proliferation or reduced cell death, either
of which can lead to tumorigenesis. A possible route through which cancer can develop is by
breakdowns in the signaling cascade of proteins at the cellular level. Since there are many ways
in which such breakdowns can occur, anti-cancer chemotherapeutic drugs show varying degrees
of efficacy in different patients. Thus, there is an urgent need to personalize the drug treatment
regimen for better response to treatment while trying to reduce the side effects of these drugs. One
way to meet this need would be to try every possible drug combination on cell lines extracted from
a patient and find the combination with the least number of drugs in the mix but providing the best
possible output. Although this method may work it is tedious and time consuming as the number
of combinations increase exponentially with every new drug that is introduced into the repertoire.
First, we consider the problem where the tumor is homogeneous in nature but the mutations
within the mutated cells are unknown. We use Boolean network models with monotonicity properties
to reduce the number of test cases, while still getting the best possible combination with the
least number of drugs in the mix. This approach is efficient both in terms of time required and the
costs involved. This method has also been applied to both simulated and real-world data collected
from fibroplasts using qPCR to demonstrate the usefulness of the method.
Another important area of study in cancer research concerns the heterogeneous nature of tumors.
The clonal evolution of tumors is the driving force leading to heterogeneity in cancer tissues.
Thus, in order to customize the treatment of cancer we need to be able to better model the heterogeneous
subpopulations in the tumor. This can be done by estimating the impact of the various
sub-populations and by modeling the interplay of various sub-populations within the heterogeneous
tumor. Prior works in the literature have already addressed the problems of estimating the
proportion of the sub-populations within a tumor and of modeling the interaction between the various
sub-populations. In this work we present a way to improve the accuracy of the
Bayesian
hierarchical model which helps in estimating the proportional breakup of the tumor population.
Additionally, it looks at ways to use the knowledge of the proportional breakup of tumor subpopulations
and the interplay between the various subpopulations to help customize the treatment
for the patient by making use of evolutionary
game theory. We demonstrate the improvement of
the presented methods as compared to the existing
Bayesian hierarchical model by applying these
techniques to qPCR and fluorescent data.
Finally, the problem becomes more challenging when the nature and the number of the subpopulations
are variable and difficult to estimate. In this work, we present a feasible way to find
the best possible drug combination for such a scenario by training two neural network…
Advisors/Committee Members: Datta, Aniruddha (advisor), Venkatraj, Vijayanagaram S (committee member), Kumar, P R (committee member), Yoon, Byung-Jun (committee member).
Subjects/Keywords: Bioinformatics; Cancer; MAPK; Signaling Pathway; Boolean; Monotonic; Drugs; Heterogeneity; Bayesian; Hierarchical Models; Evolutionary Game Theory; Neural Networks; Data Generation; Fluorescent data; qPCR data
Record Details
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Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mishra, B. P. (2018). Customization of Treatment for Cancer Patients: An Engineering Approach. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173703
Chicago Manual of Style (16th Edition):
Mishra, Bibhu Prasad. “Customization of Treatment for Cancer Patients: An Engineering Approach.” 2018. Doctoral Dissertation, Texas A&M University. Accessed April 10, 2021.
http://hdl.handle.net/1969.1/173703.
MLA Handbook (7th Edition):
Mishra, Bibhu Prasad. “Customization of Treatment for Cancer Patients: An Engineering Approach.” 2018. Web. 10 Apr 2021.
Vancouver:
Mishra BP. Customization of Treatment for Cancer Patients: An Engineering Approach. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1969.1/173703.
Council of Science Editors:
Mishra BP. Customization of Treatment for Cancer Patients: An Engineering Approach. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173703
Australian National University
21.
Wang, Jiao.
Essays on Dynamic Macroeconomics and Monetary Policy
.
Degree: 2016, Australian National University
URL: http://hdl.handle.net/1885/138245
► This thesis investigates monetary policy within the New Keynesian framework in dynamic macroeconomics. It includes three original research papers. The first paper examines the rules…
(more)
▼ This thesis investigates monetary policy within the New Keynesian
framework in dynamic macroeconomics. It includes three original
research papers. The first paper examines the rules and
transmission mechanisms of monetary policy in one of the fast
growing economies in the 21st century, China, by extending a
standard New Keynesian dynamic stochastic general equilibrium
model with financial frictions and investment-specific shocks in
order to capture some of the Chinese characteristics and applying
a Bayesian estimation strategy to real-time data. It offers a new
way of empirically examining the rule of China's monetary policy
and indicates a structural break of the neutral technology
development that may have caused the slowing down of GDP growth
since 2010.
The second paper revisits optimal monetary policy in open
economies, in particular, focusing on the noncooperative policy
game under local currency pricing in a theoretical two-country
dynamic stochastic general equilibrium model. Quadratic loss
functions of noncooperative policy makers and welfare gains from
cooperation are obtained in the paper. The results show that
noncooperative policy makers face extra trade-offs regarding
stabilizing the real marginal costs induced by deviations from
the law of one price under local currency pricing. As a result of
the increased number of stabilizing objectives, welfare gains
from cooperation emerge even when two countries face only
technology shocks, which usually leads to equivalence between
cooperation and noncooperation. Still, gains from cooperation are
not large, implying that frictions other than nominal rigidities
are necessary to strongly recommend cooperation as an important
policy framework to increase global welfare.
The third paper focuses on the noncooperative policy game
specified by choice of policy instrument for implementing optimal
monetary policy in a two-country open economy
model similar to the one in the second paper. It examines four
options of policy instruments including the producer price index
inflation rate, the consumer price index inflation rate, the
import price inflation rate and the nominal interest rate. It
shows that choosing different policy instruments generally leads
to different equilibria and, in particular, choosing the nominal
interest rate results in equilibrium indeterminacy. In addition,
the welfare ranking of these policy instruments depends on a
country's degree of openness which is measured as the weight
assigned to imported goods in the consumers' utility function. In
less open countries, domestically produced goods carry a
relatively higher weight in the consumers' utility function. For
these less open countries, choosing the producer price index
inflation rate induces a larger welfare cost from noncooperation
than choosing the consumer price index…
Subjects/Keywords: Monetary policy;
business fluctuation;
Bayesian estimation;
dynamic stochastic general equilibrium model;
China;
optimal monetary policy;
noncooperative game;
local currency pricing;
policy instrument
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, J. (2016). Essays on Dynamic Macroeconomics and Monetary Policy
. (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/138245
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wang, Jiao. “Essays on Dynamic Macroeconomics and Monetary Policy
.” 2016. Thesis, Australian National University. Accessed April 10, 2021.
http://hdl.handle.net/1885/138245.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wang, Jiao. “Essays on Dynamic Macroeconomics and Monetary Policy
.” 2016. Web. 10 Apr 2021.
Vancouver:
Wang J. Essays on Dynamic Macroeconomics and Monetary Policy
. [Internet] [Thesis]. Australian National University; 2016. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1885/138245.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wang J. Essays on Dynamic Macroeconomics and Monetary Policy
. [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/138245
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
22.
Karlsson, Dennie.
A Cost-Benefit Approach to Risk Analysis : Merging Analytical Hierarchy Process with Game Theory.
Degree: Electrical and Space Engineering, 2018, Luleå University of Technology
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67796
► In this study cost-benefits problems concerning the knapsack problem of limited resources is studied and how this relates to an attacker perspective when choosing…
(more)
▼ In this study cost-benefits problems concerning the knapsack problem of limited resources is studied and how this relates to an attacker perspective when choosing defense strategies. This is accomplished by adopting a cost-benefit method and merging it with game theory. The cost-benefit method chosen for this study is the Analytical Hierarchy Process and from the field of game theory the Bayesian Nash Equilibrium is used. The Analytical Hierarchy Process allows the user to determine internally comparable weights between elements, and to bring in a security dimension to the Analytical Hierarchy Process a sub category consisting of confidentiality, integrity and availability is used. To determine the attacker strategy and, in effect, determine the best defense strategy the Bayesian Nash Equilibrium is used.
Subjects/Keywords: Analytical Hierarchy Process; Game Theory; Bayesian Nash Equilibrium; Risk Analysis; Cost-Benefit Analysis; Knapsack Problem; Computer and Information Sciences; Data- och informationsvetenskap
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Karlsson, D. (2018). A Cost-Benefit Approach to Risk Analysis : Merging Analytical Hierarchy Process with Game Theory. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67796
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Karlsson, Dennie. “A Cost-Benefit Approach to Risk Analysis : Merging Analytical Hierarchy Process with Game Theory.” 2018. Thesis, Luleå University of Technology. Accessed April 10, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67796.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Karlsson, Dennie. “A Cost-Benefit Approach to Risk Analysis : Merging Analytical Hierarchy Process with Game Theory.” 2018. Web. 10 Apr 2021.
Vancouver:
Karlsson D. A Cost-Benefit Approach to Risk Analysis : Merging Analytical Hierarchy Process with Game Theory. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2021 Apr 10].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67796.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Karlsson D. A Cost-Benefit Approach to Risk Analysis : Merging Analytical Hierarchy Process with Game Theory. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67796
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
23.
QIAO YONGCHUAN.
ESSAYS ON GAME THEORY.
Degree: 2017, National University of Singapore
URL: http://scholarbank.nus.edu.sg/handle/10635/138184
Subjects/Keywords: Game Theory; Bayesian Coalitional Rationality; tau-Theory; Perfect Correlated Equilibrium; Revelation Principle
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
YONGCHUAN, Q. (2017). ESSAYS ON GAME THEORY. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/138184
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
YONGCHUAN, QIAO. “ESSAYS ON GAME THEORY.” 2017. Thesis, National University of Singapore. Accessed April 10, 2021.
http://scholarbank.nus.edu.sg/handle/10635/138184.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
YONGCHUAN, QIAO. “ESSAYS ON GAME THEORY.” 2017. Web. 10 Apr 2021.
Vancouver:
YONGCHUAN Q. ESSAYS ON GAME THEORY. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2021 Apr 10].
Available from: http://scholarbank.nus.edu.sg/handle/10635/138184.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
YONGCHUAN Q. ESSAYS ON GAME THEORY. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/138184
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Brno University of Technology
24.
Šebedovský, Richard.
Prostředky teorie her v ekonomickém rozhodování: Tools of Game Theory in Economic Decision Making.
Degree: 2019, Brno University of Technology
URL: http://hdl.handle.net/11012/17461
► This thesis deals with the present trends in application of game theory to creation of economic models, which are subsequently used in economic decision making…
(more)
▼ This thesis deals with the present trends in application of
game theory to creation of economic models, which are subsequently used in economic decision making with the support of tools of information technology. It mainly focuses on the tools of static and dynamic games and games with perfect and imperfect information. Models of resource sharing, auctions and management are under investigation. For each of the described models a concrete application is presented.
Advisors/Committee Members: Mezník, Ivan (advisor), Studený, Václav (referee).
Subjects/Keywords: Teorie her; Nashovo ekvilibrium; Bayesovské Nashovo ekvilibrium; statické hry; dynamické hry; modely oligopolů; Game theory; Nash equilibrium; Bayesian Nash equilibrium; static games; dynamic games; Oligopoly models
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APA (6th Edition):
Šebedovský, R. (2019). Prostředky teorie her v ekonomickém rozhodování: Tools of Game Theory in Economic Decision Making. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/17461
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Šebedovský, Richard. “Prostředky teorie her v ekonomickém rozhodování: Tools of Game Theory in Economic Decision Making.” 2019. Thesis, Brno University of Technology. Accessed April 10, 2021.
http://hdl.handle.net/11012/17461.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Šebedovský, Richard. “Prostředky teorie her v ekonomickém rozhodování: Tools of Game Theory in Economic Decision Making.” 2019. Web. 10 Apr 2021.
Vancouver:
Šebedovský R. Prostředky teorie her v ekonomickém rozhodování: Tools of Game Theory in Economic Decision Making. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/11012/17461.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Šebedovský R. Prostředky teorie her v ekonomickém rozhodování: Tools of Game Theory in Economic Decision Making. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/17461
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Cambridge
25.
Redlicki, Bartosz Andrzej.
Essays in information economics.
Degree: PhD, 2018, University of Cambridge
URL: https://doi.org/10.17863/CAM.24829
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744974
► This thesis consists of three essays in the field of information economics. The first essay studies manipulation of information by partisan media. The recent increase…
(more)
▼ This thesis consists of three essays in the field of information economics. The first essay studies manipulation of information by partisan media. The recent increase in partisan media has generated interest in what drives media outlets to become more partisan. I develop a model to study the role of diffusion of information by word of mouth. In the model, a media outlet designs an information policy, which specifies the level of partisan slant in the outlet’s news reports. The news spread via a communication chain in a population of agents with heterogeneous preferences. The slant has an impact on whether the agents find the news credible and on their incentives to pass the news to others. The analysis elucidates how partisanship of media can be driven by political polarisation of the public and by the tendency of people to interact with people with similar political views. The second essay, co-authored by Jakub Redlicki, investigates falsification of scientific evidence by interest groups. We analyse a game between a biased sender (an interest group) and a decision maker (a policy maker) where the former can falsify scientific evidence at a cost. The sender observes scientific evidence and knows that it will also be observed by the decision maker unless he falsifies it. If he falsifies, then there is a chance that the decision maker observes the falsified evidence rather than the true scientific evidence. First, we investigate the decision maker’s incentives to privately acquire independent evidence, which not only provides additional information to her but can also strengthen or weaken the sender’s falsification effort. Second, we analyse the decision maker’s incentives to acquire information from the sender. The third essay analyses competition between interest groups for access to a policy maker. I study a model of lobbying in which two privately-informed experts (e.g., interest groups) with opposite goals compete for the opportunity to communicate with a policy maker. The main objective is to analyse the benefits which competition for access brings to the policy maker as opposed to hiring an expert in advance. I show that competition for access is advantageous in that it provides the policy maker with some information about the expert who did not gain access and gives the experts an incentive to invest in their communication skills. On the other hand, hiring an expert in advance allows the policy maker to use a monetary reward to incentivise the expert to invest more in his communication skills.
Subjects/Keywords: 338.9; microeconomic theory; game theory; information economics; media economics; political economics; strategic communication; information manipulation; Bayesian persuasion; partisan media; media bias; falsification; scientific evidence; lobbying; interest groups
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APA (6th Edition):
Redlicki, B. A. (2018). Essays in information economics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.24829 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744974
Chicago Manual of Style (16th Edition):
Redlicki, Bartosz Andrzej. “Essays in information economics.” 2018. Doctoral Dissertation, University of Cambridge. Accessed April 10, 2021.
https://doi.org/10.17863/CAM.24829 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744974.
MLA Handbook (7th Edition):
Redlicki, Bartosz Andrzej. “Essays in information economics.” 2018. Web. 10 Apr 2021.
Vancouver:
Redlicki BA. Essays in information economics. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Apr 10].
Available from: https://doi.org/10.17863/CAM.24829 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744974.
Council of Science Editors:
Redlicki BA. Essays in information economics. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.24829 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744974
University of Pennsylvania
26.
Wibbens, Phebo Derk.
Exploring The Multi-Trillion Dollar Question: How Resource Dynamics Shape Long-Term Profit Patterns.
Degree: 2018, University of Pennsylvania
URL: https://repository.upenn.edu/edissertations/2997
► Only a few dozen firms across different industries have been able to appropriate a large share of the trillions of dollars of total net value…
(more)
▼ Only a few dozen firms across different industries have been able to appropriate a large share of the trillions of dollars of total net value appropriation in US markets over the past decades. This dissertation examines, using formal modeling, how resource dynamics in competitive markets shape such long term profit patterns. Chapter 1 introduces the main questions and concepts, including a general formal framework that can be used to represent RBV-based theories in terms of stochastic state space models, as well as a five-step program to do so. In chapter 2 a new measure of long-term firm performance is developed: LIVA (long-term investor value appropriation). This measure helps to address a disconnect between the common theoretical assumption that managers optimize firm value, and the widespread empirical practice of measuring performance using short-term ratios such as ROA (return on assets). Chapter 3 describes a dynamic model and empirical inference of the relation between resource competition and the decomposition of variations in returns into firm-specific and industry components. The model shows that the investment dynamics for scarce resources amplify any idiosyncratic shocks to their resource positions, thus providing a very general mechanism for the empirical regularity that variations in return have a high firm-specific component. Empirical results from a Bayesian hierarchical analysis of stock market returns support the model predictions. Chapter 4 describes a formal model to analyze how profit persistence is affected by higher order resources, which are an abstract representation of dynamic capabilities. The model in this chapter indicates that higher order resources should lead to the presence of a second order autoregressive term in profit time series. Empirical estimation of the model using both classical and Bayesian hierarchical methods indeed provides evidence for the existence of such a second order autoregressive term.
The models in these final two chapters are implementations of the formal RBV framework introduced in chapter 1, and thus exemplify the value of such a framework to the strategy field.
Subjects/Keywords: Bayesian inference; Competitive strategy; Game theory; Long-term profit; Resource based view; Stochastic dynamics; Business Administration, Management, and Operations; Economics; Management Sciences and Quantitative Methods
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APA (6th Edition):
Wibbens, P. D. (2018). Exploring The Multi-Trillion Dollar Question: How Resource Dynamics Shape Long-Term Profit Patterns. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2997
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wibbens, Phebo Derk. “Exploring The Multi-Trillion Dollar Question: How Resource Dynamics Shape Long-Term Profit Patterns.” 2018. Thesis, University of Pennsylvania. Accessed April 10, 2021.
https://repository.upenn.edu/edissertations/2997.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wibbens, Phebo Derk. “Exploring The Multi-Trillion Dollar Question: How Resource Dynamics Shape Long-Term Profit Patterns.” 2018. Web. 10 Apr 2021.
Vancouver:
Wibbens PD. Exploring The Multi-Trillion Dollar Question: How Resource Dynamics Shape Long-Term Profit Patterns. [Internet] [Thesis]. University of Pennsylvania; 2018. [cited 2021 Apr 10].
Available from: https://repository.upenn.edu/edissertations/2997.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wibbens PD. Exploring The Multi-Trillion Dollar Question: How Resource Dynamics Shape Long-Term Profit Patterns. [Thesis]. University of Pennsylvania; 2018. Available from: https://repository.upenn.edu/edissertations/2997
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of New Mexico
27.
Greene, Kshanti.
Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers.
Degree: Department of Computer Science, 2010, University of New Mexico
URL: http://hdl.handle.net/1928/10878
► Bayesian belief aggregation is the process of forming a consensus model from the probabilistic beliefs of multiple individuals. Preference aggregation attempts to find an optimal…
(more)
▼ Bayesian belief aggregation is the process of forming a consensus model from the probabilistic beliefs of multiple individuals. Preference aggregation attempts to find an optimal solution for a population considering each individual's beliefs, desires and objectives. Belief and preference aggregation approaches that form a single consensus average away any diversity in a population. In the process they may fail to uphold a set of mathematical properties for rational aggregation defined by social choice theorists. This dissertation introduces a new aggregation approach that maintains the diversity of a population and allows the competitive aspects of a situation to emerge, enabling
game theoretic analysis in large populations of decision-makers. Each individual's beliefs and preferences are represented by a
Bayesian network. Based on the result of inference on the networks, a population is separated into collectives whose members agree on the relatively likelihood or desirability of the possible outcomes of a situation. An aggregate for each collective can then be computed such that the aggregate upholds the rationality properties.
Game theoretic analysis is then applied using 'super-agents' that represent each collective as the
game players. In this manner, the set of Pareto optimal and Nash equilibrium solutions can be found, even in situations that cause single consensus models to return non-Pareto or otherwise 'irrational' solutions.
Advisors/Committee Members: Luger, George, Kniss, Joe, Moses, Melanie, Ross, Tim, Stern, Carl.
Subjects/Keywords: Decision-making; Bayesian reasoning; Social choice theory; Probabilistic reasoning; Bayesian belief aggregation; game theory; diversity; artificial intelligence; social decision-making
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APA ·
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APA (6th Edition):
Greene, K. (2010). Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10878
Chicago Manual of Style (16th Edition):
Greene, Kshanti. “Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers.” 2010. Doctoral Dissertation, University of New Mexico. Accessed April 10, 2021.
http://hdl.handle.net/1928/10878.
MLA Handbook (7th Edition):
Greene, Kshanti. “Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers.” 2010. Web. 10 Apr 2021.
Vancouver:
Greene K. Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers. [Internet] [Doctoral dissertation]. University of New Mexico; 2010. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/1928/10878.
Council of Science Editors:
Greene K. Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers. [Doctoral Dissertation]. University of New Mexico; 2010. Available from: http://hdl.handle.net/1928/10878
Loughborough University
28.
Daniyan, Abdullahi.
Advanced signal processing techniques for multi-target tracking.
Degree: PhD, 2018, Loughborough University
URL: http://hdl.handle.net/2134/35277
► The multi-target tracking problem essentially involves the recursive joint estimation of the state of unknown and time-varying number of targets present in a tracking scene,…
(more)
▼ The multi-target tracking problem essentially involves the recursive joint estimation of the state of unknown and time-varying number of targets present in a tracking scene, given a series of observations. This problem becomes more challenging because the sequence of observations is noisy and can become corrupted due to miss-detections and false alarms/clutter. Additionally, the detected observations are indistinguishable from clutter. Furthermore, whether the target(s) of interest are point or extended (in terms of spatial extent) poses even more technical challenges. An approach known as random finite sets provides an elegant and rigorous framework for the handling of the multi-target tracking problem. With a random finite sets formulation, both the multi-target states and multi-target observations are modelled as finite set valued random variables, that is, random variables which are random in both the number of elements and the values of the elements themselves. Furthermore, compared to other approaches, the random finite sets approach possesses a desirable characteristic of being free of explicit data association prior to tracking. In addition, a framework is available for dealing with random finite sets and is known as finite sets statistics. In this thesis, advanced signal processing techniques are employed to provide enhancements to and develop new random finite sets based multi-target tracking algorithms for the tracking of both point and extended targets with the aim to improve tracking performance in cluttered environments. To this end, firstly, a new and efficient Kalman-gain aided sequential Monte Carlo probability hypothesis density (KG-SMC-PHD) filter and a cardinalised particle probability hypothesis density (KG-SMC-CPHD) filter are proposed. These filters employ the Kalman- gain approach during weight update to correct predicted particle states by minimising the mean square error between the estimated measurement and the actual measurement received at a given time in order to arrive at a more accurate posterior. This technique identifies and selects those particles belonging to a particular target from a given PHD for state correction during weight computation. The proposed SMC-CPHD filter provides a better estimate of the number of targets. Besides the improved tracking accuracy, fewer particles are required in the proposed approach. Simulation results confirm the improved tracking performance when evaluated with different measures. Secondly, the KG-SMC-(C)PHD filters are particle filter (PF) based and as with PFs, they require a process known as resampling to avoid the problem of degeneracy. This thesis proposes a new resampling scheme to address a problem with the systematic resampling method which causes a high tendency of resampling very low weight particles especially when a large number of resampled particles are required; which in turn affect state estimation. Thirdly, the KG-SMC-(C)PHD filters proposed in this thesis perform filtering and not tracking , that is, they provide only point…
Subjects/Keywords: 621.382; Target tracking; Bayesian inference; Bayesian estimation; Signal Processing; Kalman filter; Random finite sets; RFS; Particle filter; PHD filter; Probability hypothesis filter; CPHD filter; Sequential Monte Carlo; Game theory; Regret matching; Correlated equilibrium; Passive radar; Statistical signal processing; Probability; GLMB; Labelled random finite sets; Kalman gain; Poisson mixture; B-spline
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APA (6th Edition):
Daniyan, A. (2018). Advanced signal processing techniques for multi-target tracking. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/35277
Chicago Manual of Style (16th Edition):
Daniyan, Abdullahi. “Advanced signal processing techniques for multi-target tracking.” 2018. Doctoral Dissertation, Loughborough University. Accessed April 10, 2021.
http://hdl.handle.net/2134/35277.
MLA Handbook (7th Edition):
Daniyan, Abdullahi. “Advanced signal processing techniques for multi-target tracking.” 2018. Web. 10 Apr 2021.
Vancouver:
Daniyan A. Advanced signal processing techniques for multi-target tracking. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/2134/35277.
Council of Science Editors:
Daniyan A. Advanced signal processing techniques for multi-target tracking. [Doctoral Dissertation]. Loughborough University; 2018. Available from: http://hdl.handle.net/2134/35277
29.
Massicot, Olivier.
On the role of signaling in mitigation of road-traffic congestion: The price of anarchy of signaling-based strategies in stochastic networks.
Degree: MS, Aerospace Engineering, 2019, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/106130
► We study the influence of information design on routing in the presence of vagaries, following the canonical congestion game approach. We allow a central controller…
(more)
▼ We study the influence of information design on routing in the presence of vagaries, following the canonical congestion
game approach. We allow a central controller to observe nature's state and make exploit the information gap between her and the drivers, to cater information to drivers in a most social manner. In addition to the extreme cases of full and no information, she can also use randomized public signaling and personal recommendations.
We revisit these programs and raise algorithmic concerns, but most importantly, we revisit Roughgarden's celebrated Price of Anarchy (PoA) in uncertain networks. Unexpectedly, no upper bound on the PoA holds if drivers are kept uninformed in the presence of vagaries, while fully informed drivers perform regularly. On the other hand, uninformed drivers might outperform informed drivers by a factor equal to the price of anarchy. Comparing pairwise all information provisions, we establish a table of competitive ratios, which turn out to only take vales one, the PoA, and infinity.
Advisors/Committee Members: Langbort, Cedric (advisor).
Subjects/Keywords: Road-traffic; congestion; signaling games; signal; information design; game theory; price of anarchy; Wardrop equilibrium; Bayesian game
…Chapter 2
Selfish routing
2.1
Routing as a congestion game
In this first section, the… …reader will find how a road network is canonically modeled as a congestion game
and the general… …network and costs above naturally define a so-called routing game in which drivers are players… …This game is a congestion
game, so we should expect it to be a potential game. It is indeed… …strategies.
Further, they study the replicator dynamics of the game and prove Wardrop equilibria…
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APA (6th Edition):
Massicot, O. (2019). On the role of signaling in mitigation of road-traffic congestion: The price of anarchy of signaling-based strategies in stochastic networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/106130
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Massicot, Olivier. “On the role of signaling in mitigation of road-traffic congestion: The price of anarchy of signaling-based strategies in stochastic networks.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed April 10, 2021.
http://hdl.handle.net/2142/106130.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Massicot, Olivier. “On the role of signaling in mitigation of road-traffic congestion: The price of anarchy of signaling-based strategies in stochastic networks.” 2019. Web. 10 Apr 2021.
Vancouver:
Massicot O. On the role of signaling in mitigation of road-traffic congestion: The price of anarchy of signaling-based strategies in stochastic networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2021 Apr 10].
Available from: http://hdl.handle.net/2142/106130.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Massicot O. On the role of signaling in mitigation of road-traffic congestion: The price of anarchy of signaling-based strategies in stochastic networks. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/106130
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
30.
Karelahti, Janne.
Modeling and On-Line Solution of Air Combat Optimization Problems and Games.
Degree: 2008, Helsinki University of Technology
URL: http://lib.tkk.fi/Diss/2008/isbn9789512291083/
► The thesis deals with the guidance and control of a fighter aircraft in air combat. From the modeling perspective, the thesis formulates realistic air combat…
(more)
▼ The thesis deals with the guidance and control of a fighter aircraft in air combat. From the modeling perspective, the thesis formulates realistic air combat optimization problems and games in which inherent uncertainties of air combat are taken into account. From the solution perspective, the thesis develops on-line methods for the near-optimal feedback solution of the constructed models. The solution methods are based mostly on receding horizon control, where computational savings are achieved by using a truncated planning horizon. Considering single-sided optimization problems, the thesis presents a new approach for the guidance of an aircraft avoiding a homing air combat missile. The approach is applicable with various avoidance criteria that exploit different weaknesses of the missile system. In addition, a novel way based on Bayesian reasoning for taking into account the target's uncertainty about the guidance law of the missile is introduced. An approach and its software implementation for the user-oriented computation of realistic near-optimal aircraft trajectories are presented as well. The software can be used to assess the quality and realism of the solutions provided by the introduced guidance schemes. Considering games, the thesis presents an influence diagram game modeling a dogfight between two aircraft and develops a method for the on-line optimization of the aircraft's controls in such a setting. The game formulation enables the consideration of preferences, perception, and beliefs in air combat. In addition, a new game model and an on-line solution scheme providing game optimal support time of the missile in a missile duel is introduced. Considering practical implementation, the introduced models and solution methods could be further developed and consolidated in an onboard guidance system or in a pilot advisory system.
Väitöskirja käsittelee hävittäjän ohjaamista ilmataistelussa. Väitöskirjassa konstruoidaan ilmataistelua kuvaavia optimointi- ja pelimalleja, joissa otetaan huomioon ilmataisteluun liittyviä epävarmuustekijöitä. Lisäksi kehitetään reaaliaikaisia laskentamenetelmiä mallien lähes-optimaalisten takaisinkytkettyjen ratkaisuiden saamiseksi. Ratkaisumenetelmät perustuvat etupäässä etenevän suunnitteluhorisontin säätöön. Metodiikkaa käytetään ohjuksenväistöön soveltuvassa hävittäjän ohjausmenetelmässä, jota voidaan soveltaa monilla ohjussysteemin eri heikkouksia hyödyntävillä väistökriteereillä. Menetelmä laajennetaan adaptiiviseksi, Bayes-päättelyä hyödyntäväksi ohjausmenetelmäksi, joka ottaa huomioon hävittäjän epävarmuuden ohjuksen ohjauslaista. Ohjuksen väistöongelmaa tarkastellaan myös pelinä, jonka ratkaisuna saadaan ilmataisteluohjuksen optimaalinen tukemisaika. Toisessa peliasetelmassa tarkastellaan kahden hävittäjän välistä kaartotaistelua, joka mallinnetaan hävittäjälentäjien preferenssit sekä epävarmuudet uhkatilasta huomioon ottavana vaikutuskaaviopelinä. Peli ratkaistaan laskentamenetelmällä, jonka avulla kaartotaistelua käyvän hävittäjän ohjaukset voidaan optimoida…
Advisors/Committee Members: Helsinki University of Technology, Department of Engineering Physics and Mathematics, Systems Analysis Laboratory.
Subjects/Keywords: air combat; missile avoidance; computational optimal control; game theory; receding horizon control; adaptive control; Bayesian reasoning; influence diagram; inverse simulation; ilmataistelu; ohjuksenväistö; laskennallinen optimisäätö; peliteoria; etenevän suunnitteluhorisontin säätö; adaptiivinen säätö; Bayes-päättely; vaikutuskaavio; käänteissimulointi
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APA ·
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Manager
APA (6th Edition):
Karelahti, J. (2008). Modeling and On-Line Solution of Air Combat Optimization Problems and Games. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2008/isbn9789512291083/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Karelahti, Janne. “Modeling and On-Line Solution of Air Combat Optimization Problems and Games.” 2008. Thesis, Helsinki University of Technology. Accessed April 10, 2021.
http://lib.tkk.fi/Diss/2008/isbn9789512291083/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Karelahti, Janne. “Modeling and On-Line Solution of Air Combat Optimization Problems and Games.” 2008. Web. 10 Apr 2021.
Vancouver:
Karelahti J. Modeling and On-Line Solution of Air Combat Optimization Problems and Games. [Internet] [Thesis]. Helsinki University of Technology; 2008. [cited 2021 Apr 10].
Available from: http://lib.tkk.fi/Diss/2008/isbn9789512291083/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Karelahti J. Modeling and On-Line Solution of Air Combat Optimization Problems and Games. [Thesis]. Helsinki University of Technology; 2008. Available from: http://lib.tkk.fi/Diss/2008/isbn9789512291083/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
◁ [1] [2] ▶
. 
Open Access Theses and Dissertations
