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You searched for +publisher:"University of Michigan" +contributor:("Wellman, Michael P."). Showing records 1 – 30 of 40 total matches.

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University of Michigan

1. Khaliligarekani, Mohammadmahdi. Incentive Mechanisms for Managing and Controlling Cyber Risks: The Role of Cyber Insurance and Resource Pooling.

Degree: PhD, Electrical and Computer Engineering, 2020, University of Michigan

 Faced with a myriad of costly and frequent cyber threats, organizations not only invest in software security mechanisms such as firewalls and intrusion detection systems… (more)

Subjects/Keywords: Cybersecurity; Cyber insurance; Contract design; Game theory; Security Economics; Optimization; Computer Science; Electrical Engineering; Industrial and Operations Engineering; Engineering

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APA (6th Edition):

Khaliligarekani, M. (2020). Incentive Mechanisms for Managing and Controlling Cyber Risks: The Role of Cyber Insurance and Resource Pooling. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155236

Chicago Manual of Style (16th Edition):

Khaliligarekani, Mohammadmahdi. “Incentive Mechanisms for Managing and Controlling Cyber Risks: The Role of Cyber Insurance and Resource Pooling.” 2020. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/155236.

MLA Handbook (7th Edition):

Khaliligarekani, Mohammadmahdi. “Incentive Mechanisms for Managing and Controlling Cyber Risks: The Role of Cyber Insurance and Resource Pooling.” 2020. Web. 23 Jan 2021.

Vancouver:

Khaliligarekani M. Incentive Mechanisms for Managing and Controlling Cyber Risks: The Role of Cyber Insurance and Resource Pooling. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/155236.

Council of Science Editors:

Khaliligarekani M. Incentive Mechanisms for Managing and Controlling Cyber Risks: The Role of Cyber Insurance and Resource Pooling. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155236

2. Miehling, Erik. Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation.

Degree: PhD, Electrical Engineering: Systems, 2018, University of Michigan

 The increased sensing, processing, communication, and control capabilities introduced by cyber-physical systems bring many potential improvements to the operation of society's systems, but also introduce… (more)

Subjects/Keywords: Cyber-physical systems; Security; Control theory; Partially observable Markov decision processes; Electrical Engineering; Engineering

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APA (6th Edition):

Miehling, E. (2018). Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144026

Chicago Manual of Style (16th Edition):

Miehling, Erik. “Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation.” 2018. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/144026.

MLA Handbook (7th Edition):

Miehling, Erik. “Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation.” 2018. Web. 23 Jan 2021.

Vancouver:

Miehling E. Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/144026.

Council of Science Editors:

Miehling E. Reasoning Under Uncertainty in Cyber-Physical Systems: Toward Efficient and Secure Operation. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144026


University of Michigan

3. Wah, Elaine. Computational Models of Algorithmic Trading in Financial Markets.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 Today's trading landscape is a fragmented and complex system of interconnected electronic markets in which algorithmic traders are responsible for the majority of trading activity.… (more)

Subjects/Keywords: algorithmic trading; high-frequency trading; frequent call market; market making; agent-based modeling; simulation; Finance; Computer Science; Business and Economics; Engineering

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APA (6th Edition):

Wah, E. (2016). Computational Models of Algorithmic Trading in Financial Markets. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120811

Chicago Manual of Style (16th Edition):

Wah, Elaine. “Computational Models of Algorithmic Trading in Financial Markets.” 2016. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/120811.

MLA Handbook (7th Edition):

Wah, Elaine. “Computational Models of Algorithmic Trading in Financial Markets.” 2016. Web. 23 Jan 2021.

Vancouver:

Wah E. Computational Models of Algorithmic Trading in Financial Markets. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/120811.

Council of Science Editors:

Wah E. Computational Models of Algorithmic Trading in Financial Markets. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120811


University of Michigan

4. Cheng, Frank. Agent-Based Models for Analyzing Strategic Adaptations to Government Regulation.

Degree: PhD, Computer Science & Engineering, 2020, University of Michigan

 In many economic systems, participants are unable to internalize social costs. These can be anything from pollution to default risk in financial systems. To deal… (more)

Subjects/Keywords: Game theory; Economics; Networks; Banking; Basel; Emissions regulation; Computer Science; Engineering

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APA (6th Edition):

Cheng, F. (2020). Agent-Based Models for Analyzing Strategic Adaptations to Government Regulation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155192

Chicago Manual of Style (16th Edition):

Cheng, Frank. “Agent-Based Models for Analyzing Strategic Adaptations to Government Regulation.” 2020. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/155192.

MLA Handbook (7th Edition):

Cheng, Frank. “Agent-Based Models for Analyzing Strategic Adaptations to Government Regulation.” 2020. Web. 23 Jan 2021.

Vancouver:

Cheng F. Agent-Based Models for Analyzing Strategic Adaptations to Government Regulation. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/155192.

Council of Science Editors:

Cheng F. Agent-Based Models for Analyzing Strategic Adaptations to Government Regulation. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155192


University of Michigan

5. Tablante, Bartolome W. Learning and Beliefs in Non-Centralized Markets.

Degree: PhD, Economics, 2015, University of Michigan

 This dissertation uses microeconomic theory to examine learning and beliefs in markets that are not centralized, in order to refine our knowledge of how information… (more)

Subjects/Keywords: microeconomic theory; decentralized markets; Economics; Business and Economics

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APA (6th Edition):

Tablante, B. W. (2015). Learning and Beliefs in Non-Centralized Markets. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113592

Chicago Manual of Style (16th Edition):

Tablante, Bartolome W. “Learning and Beliefs in Non-Centralized Markets.” 2015. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/113592.

MLA Handbook (7th Edition):

Tablante, Bartolome W. “Learning and Beliefs in Non-Centralized Markets.” 2015. Web. 23 Jan 2021.

Vancouver:

Tablante BW. Learning and Beliefs in Non-Centralized Markets. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/113592.

Council of Science Editors:

Tablante BW. Learning and Beliefs in Non-Centralized Markets. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113592


University of Michigan

6. Sorg, Jonathan Daniel. The Optimal Reward Problem: Designing Effective Reward for Bounded Agents.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 In the field of reinforcement learning, agent designers build agents which seek to maximize reward. In standard practice, one reward function serves two purposes. It… (more)

Subjects/Keywords: Reinforcement Learning; Computer Science; Engineering

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APA (6th Edition):

Sorg, J. D. (2011). The Optimal Reward Problem: Designing Effective Reward for Bounded Agents. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89705

Chicago Manual of Style (16th Edition):

Sorg, Jonathan Daniel. “The Optimal Reward Problem: Designing Effective Reward for Bounded Agents.” 2011. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/89705.

MLA Handbook (7th Edition):

Sorg, Jonathan Daniel. “The Optimal Reward Problem: Designing Effective Reward for Bounded Agents.” 2011. Web. 23 Jan 2021.

Vancouver:

Sorg JD. The Optimal Reward Problem: Designing Effective Reward for Bounded Agents. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/89705.

Council of Science Editors:

Sorg JD. The Optimal Reward Problem: Designing Effective Reward for Bounded Agents. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89705


University of Michigan

7. Hu, Junling. Learning in dynamic noncooperative multiagent systems.

Degree: PhD, Social Sciences, 1999, University of Michigan

 Dynamic noncooperative multiagent systems are systems where self-interested agents interact with each other and their interactions change over time. We investigate the problem of learning… (more)

Subjects/Keywords: Decision Making; Decision-making; Dynamic; Multiagen; Noncooperative Multiagent Systems; Q-learning

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APA (6th Edition):

Hu, J. (1999). Learning in dynamic noncooperative multiagent systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/131906

Chicago Manual of Style (16th Edition):

Hu, Junling. “Learning in dynamic noncooperative multiagent systems.” 1999. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/131906.

MLA Handbook (7th Edition):

Hu, Junling. “Learning in dynamic noncooperative multiagent systems.” 1999. Web. 23 Jan 2021.

Vancouver:

Hu J. Learning in dynamic noncooperative multiagent systems. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/131906.

Council of Science Editors:

Hu J. Learning in dynamic noncooperative multiagent systems. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/131906


University of Michigan

8. Pennock, David M. Aggregating probabilistic beliefs: Market mechanisms and graphical representations.

Degree: PhD, Statistics, 1999, University of Michigan

 A long-standing question in statistics is how best to aggregate the probabilistic beliefs of multiple agents. Related is the practical question of how to represent… (more)

Subjects/Keywords: Aggregating; Bayesian; Belief Aggregation; Graphical Representations; Market Mechanisms; Probabilistic Beliefs; Securities Markets

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APA (6th Edition):

Pennock, D. M. (1999). Aggregating probabilistic beliefs: Market mechanisms and graphical representations. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132223

Chicago Manual of Style (16th Edition):

Pennock, David M. “Aggregating probabilistic beliefs: Market mechanisms and graphical representations.” 1999. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/132223.

MLA Handbook (7th Edition):

Pennock, David M. “Aggregating probabilistic beliefs: Market mechanisms and graphical representations.” 1999. Web. 23 Jan 2021.

Vancouver:

Pennock DM. Aggregating probabilistic beliefs: Market mechanisms and graphical representations. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/132223.

Council of Science Editors:

Pennock DM. Aggregating probabilistic beliefs: Market mechanisms and graphical representations. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/132223


University of Michigan

9. Mullen, Tracy. Design of computational market systems for network information services.

Degree: PhD, Social Sciences, 1999, University of Michigan

 One of the goals of an information service network is to provide users with access to a multitude of highly distributed and constantly changing information… (more)

Subjects/Keywords: Computational Market; Design; Information Services; Library Services; Libraryservices; Network; Systems

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APA (6th Edition):

Mullen, T. (1999). Design of computational market systems for network information services. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/131737

Chicago Manual of Style (16th Edition):

Mullen, Tracy. “Design of computational market systems for network information services.” 1999. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/131737.

MLA Handbook (7th Edition):

Mullen, Tracy. “Design of computational market systems for network information services.” 1999. Web. 23 Jan 2021.

Vancouver:

Mullen T. Design of computational market systems for network information services. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/131737.

Council of Science Editors:

Mullen T. Design of computational market systems for network information services. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/131737


University of Michigan

10. Wurman, Peter R. Market structure and multidimensional auction design for computational economies.

Degree: PhD, Social Sciences, 1999, University of Michigan

 Research in multiagent systems and electronic commerce applications often involves the task of designing a mechanism to allocate scarce resources among self-interested agents. Microeconomics has… (more)

Subjects/Keywords: Computational; Design; Economies; Electronic Commerce; Market Structure; Multidimensional Auction

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APA (6th Edition):

Wurman, P. R. (1999). Market structure and multidimensional auction design for computational economies. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132282

Chicago Manual of Style (16th Edition):

Wurman, Peter R. “Market structure and multidimensional auction design for computational economies.” 1999. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/132282.

MLA Handbook (7th Edition):

Wurman, Peter R. “Market structure and multidimensional auction design for computational economies.” 1999. Web. 23 Jan 2021.

Vancouver:

Wurman PR. Market structure and multidimensional auction design for computational economies. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/132282.

Council of Science Editors:

Wurman PR. Market structure and multidimensional auction design for computational economies. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/132282


University of Michigan

11. Schvartzman, Leonardo Julian. Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning.

Degree: PhD, Computer science, 2009, University of Michigan

 Empirical game-theoretic analysis (EGTA) combines tools from simulation, search, statistics, and game-theoretic concepts to study strategic properties of large multiagent scenarios. One direct application of… (more)

Subjects/Keywords: Analysis; Bidding; Continuous Double Auctions; Empirical; Game Theory; Reinforcement Learning; Strategies; Stronger; Theoretic; Trading Agent

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APA (6th Edition):

Schvartzman, L. J. (2009). Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/127126

Chicago Manual of Style (16th Edition):

Schvartzman, Leonardo Julian. “Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning.” 2009. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/127126.

MLA Handbook (7th Edition):

Schvartzman, Leonardo Julian. “Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning.” 2009. Web. 23 Jan 2021.

Vancouver:

Schvartzman LJ. Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/127126.

Council of Science Editors:

Schvartzman LJ. Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/127126


University of Michigan

12. Reeves, Daniel M. Generating trading agent strategies: Analytic and empirical methods for infinite and large games.

Degree: PhD, Computer science, 2005, University of Michigan

 A Strategy Generation Engine is a system that reads a description of a game or market mechanism and outputs strategies for participants. Ideally, this means… (more)

Subjects/Keywords: Analytic; Empirical; Game Theory; Generating; Infinite Games; Large; Methods; Nash Equilibrium; Strategies; Trading Agent; Trading Agents

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APA (6th Edition):

Reeves, D. M. (2005). Generating trading agent strategies: Analytic and empirical methods for infinite and large games. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125482

Chicago Manual of Style (16th Edition):

Reeves, Daniel M. “Generating trading agent strategies: Analytic and empirical methods for infinite and large games.” 2005. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/125482.

MLA Handbook (7th Edition):

Reeves, Daniel M. “Generating trading agent strategies: Analytic and empirical methods for infinite and large games.” 2005. Web. 23 Jan 2021.

Vancouver:

Reeves DM. Generating trading agent strategies: Analytic and empirical methods for infinite and large games. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/125482.

Council of Science Editors:

Reeves DM. Generating trading agent strategies: Analytic and empirical methods for infinite and large games. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/125482


University of Michigan

13. Pynadath, David Varghese. Probabilistic grammars for plan recognition.

Degree: PhD, Computer science, 1999, University of Michigan

 A decision maker operating in the presence of a planning agent must often try to determine the plan of action driving the agent's behavior. Modeling… (more)

Subjects/Keywords: Plan Recognition; Probabilistic Grammars

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APA (6th Edition):

Pynadath, D. V. (1999). Probabilistic grammars for plan recognition. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/131760

Chicago Manual of Style (16th Edition):

Pynadath, David Varghese. “Probabilistic grammars for plan recognition.” 1999. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/131760.

MLA Handbook (7th Edition):

Pynadath, David Varghese. “Probabilistic grammars for plan recognition.” 1999. Web. 23 Jan 2021.

Vancouver:

Pynadath DV. Probabilistic grammars for plan recognition. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/131760.

Council of Science Editors:

Pynadath DV. Probabilistic grammars for plan recognition. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/131760


University of Michigan

14. Liu, Chao-Lin. State-space abstraction methods for approximate evaluation of Bayesian networks.

Degree: PhD, Systems science, 1998, University of Michigan

 Bayesian networks provide a useful mechanism for encoding and reasoning about uncertainty. Recent progress in the design of inference algorithms for Bayesian networks has expanded… (more)

Subjects/Keywords: Approximate; Bayesian; Evaluation; Methods; Networks; Node Marginalization; State-space Abstraction

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APA (6th Edition):

Liu, C. (1998). State-space abstraction methods for approximate evaluation of Bayesian networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/131263

Chicago Manual of Style (16th Edition):

Liu, Chao-Lin. “State-space abstraction methods for approximate evaluation of Bayesian networks.” 1998. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/131263.

MLA Handbook (7th Edition):

Liu, Chao-Lin. “State-space abstraction methods for approximate evaluation of Bayesian networks.” 1998. Web. 23 Jan 2021.

Vancouver:

Liu C. State-space abstraction methods for approximate evaluation of Bayesian networks. [Internet] [Doctoral dissertation]. University of Michigan; 1998. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/131263.

Council of Science Editors:

Liu C. State-space abstraction methods for approximate evaluation of Bayesian networks. [Doctoral Dissertation]. University of Michigan; 1998. Available from: http://hdl.handle.net/2027.42/131263


University of Michigan

15. Walsh, William Edward. Market protocols for decentralized supply chain formation.

Degree: PhD, Computer science, 2001, University of Michigan

 In order to effectively respond to changing market conditions, business partners must be able to rapidly form supply chains. This thesis approaches the problem of… (more)

Subjects/Keywords: Decentralized Supply Chain; Distributed Constraint Satisfaction; Market Protocols; Multiagent Systems; Supply Chain Formation

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APA (6th Edition):

Walsh, W. E. (2001). Market protocols for decentralized supply chain formation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126745

Chicago Manual of Style (16th Edition):

Walsh, William Edward. “Market protocols for decentralized supply chain formation.” 2001. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/126745.

MLA Handbook (7th Edition):

Walsh, William Edward. “Market protocols for decentralized supply chain formation.” 2001. Web. 23 Jan 2021.

Vancouver:

Walsh WE. Market protocols for decentralized supply chain formation. [Internet] [Doctoral dissertation]. University of Michigan; 2001. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/126745.

Council of Science Editors:

Walsh WE. Market protocols for decentralized supply chain formation. [Doctoral Dissertation]. University of Michigan; 2001. Available from: http://hdl.handle.net/2027.42/126745

16. Kutty, Sindhu Krishnan. All Men Count with You, but None Too Much: Information Aggregation and Learning in Prediction Markets.

Degree: PhD, Computer Science and Engineering, 2015, University of Michigan

 Prediction markets are markets that are set up to aggregate information from a population of traders in order to predict the outcome of an event.… (more)

Subjects/Keywords: Prediction Markets; Machine Learning; Recommender Systems; Scoring Rules; Computer Science; Engineering

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APA (6th Edition):

Kutty, S. K. (2015). All Men Count with You, but None Too Much: Information Aggregation and Learning in Prediction Markets. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/111398

Chicago Manual of Style (16th Edition):

Kutty, Sindhu Krishnan. “All Men Count with You, but None Too Much: Information Aggregation and Learning in Prediction Markets.” 2015. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/111398.

MLA Handbook (7th Edition):

Kutty, Sindhu Krishnan. “All Men Count with You, but None Too Much: Information Aggregation and Learning in Prediction Markets.” 2015. Web. 23 Jan 2021.

Vancouver:

Kutty SK. All Men Count with You, but None Too Much: Information Aggregation and Learning in Prediction Markets. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/111398.

Council of Science Editors:

Kutty SK. All Men Count with You, but None Too Much: Information Aggregation and Learning in Prediction Markets. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/111398

17. Wolfe, Britton D. Modeling Dynamical Systems with Structured Predictive State Representations.

Degree: PhD, Computer Science & Engineering, 2009, University of Michigan

 Predictive state representations (PSRs) are a class of models that represent the state of a dynamical system as a set of predictions about future events.… (more)

Subjects/Keywords: Predictive State Representations; Artificial Intelligence; Modeling Dynamical Systems; Computer Science; Engineering

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APA (6th Edition):

Wolfe, B. D. (2009). Modeling Dynamical Systems with Structured Predictive State Representations. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64601

Chicago Manual of Style (16th Edition):

Wolfe, Britton D. “Modeling Dynamical Systems with Structured Predictive State Representations.” 2009. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/64601.

MLA Handbook (7th Edition):

Wolfe, Britton D. “Modeling Dynamical Systems with Structured Predictive State Representations.” 2009. Web. 23 Jan 2021.

Vancouver:

Wolfe BD. Modeling Dynamical Systems with Structured Predictive State Representations. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/64601.

Council of Science Editors:

Wolfe BD. Modeling Dynamical Systems with Structured Predictive State Representations. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64601

18. Duong, Quang A. Graphical Multiagent Models.

Degree: PhD, Computer Science and Engineering, 2012, University of Michigan

 I introduce Graphical Multiagent Models (GMMs): probabilistic graphical models that capture agent interactions in factored representations for efficient inference about agent behaviors. The graphical model… (more)

Subjects/Keywords: Multiagent Reasoning; Graphical Models; Dynamics Behavior; Structure Learning; Computer Science; Engineering; Science

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APA (6th Edition):

Duong, Q. A. (2012). Graphical Multiagent Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/95999

Chicago Manual of Style (16th Edition):

Duong, Quang A. “Graphical Multiagent Models.” 2012. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/95999.

MLA Handbook (7th Edition):

Duong, Quang A. “Graphical Multiagent Models.” 2012. Web. 23 Jan 2021.

Vancouver:

Duong QA. Graphical Multiagent Models. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/95999.

Council of Science Editors:

Duong QA. Graphical Multiagent Models. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/95999

19. Boerkoel Jr, James C. Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems.

Degree: PhD, Computer Science & Engineering, 2012, University of Michigan

 This research focuses on building foundational algorithms for scheduling agents that assist people in managing their activities in environments in which tempo and complexity outstrip… (more)

Subjects/Keywords: Multiagent Scheduling; Constraint-based Scheduling; Simple Temporal Problem; Disjunctive Temporal Problem; Temporal Decoupling; Multiagent Coordination; Computer Science; Engineering

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APA (6th Edition):

Boerkoel Jr, J. C. (2012). Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/96046

Chicago Manual of Style (16th Edition):

Boerkoel Jr, James C. “Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems.” 2012. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/96046.

MLA Handbook (7th Edition):

Boerkoel Jr, James C. “Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems.” 2012. Web. 23 Jan 2021.

Vancouver:

Boerkoel Jr JC. Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/96046.

Council of Science Editors:

Boerkoel Jr JC. Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/96046

20. Cohn, Robert W. Maximizing Expected Value of Information in Decision Problems by Querying on a Wish-to-Know Basis.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 An agent acting under uncertainty regarding how it should complete the task assigned to it by its human user can learn more about how it… (more)

Subjects/Keywords: Expected Value of Information; Query Selection Algorithms; Computer Science; Engineering

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APA (6th Edition):

Cohn, R. W. (2016). Maximizing Expected Value of Information in Decision Problems by Querying on a Wish-to-Know Basis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120772

Chicago Manual of Style (16th Edition):

Cohn, Robert W. “Maximizing Expected Value of Information in Decision Problems by Querying on a Wish-to-Know Basis.” 2016. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/120772.

MLA Handbook (7th Edition):

Cohn, Robert W. “Maximizing Expected Value of Information in Decision Problems by Querying on a Wish-to-Know Basis.” 2016. Web. 23 Jan 2021.

Vancouver:

Cohn RW. Maximizing Expected Value of Information in Decision Problems by Querying on a Wish-to-Know Basis. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/120772.

Council of Science Editors:

Cohn RW. Maximizing Expected Value of Information in Decision Problems by Querying on a Wish-to-Know Basis. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120772

21. Vorobeychik, Yevgeniy. Mechanism Design and Analysis Using Simulation-Based Game Models.

Degree: PhD, Computer Science & Engineering, 2008, University of Michigan

 As agent technology matures, it becomes easier to envision electronic marketplaces teeming with autonomous agents. Since agents are explicitly programmed to (nearly) optimally compete in… (more)

Subjects/Keywords: Simulation-based Game Theory; Computational Game Theory; Multiagent Systems; Computer Science; Engineering

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APA (6th Edition):

Vorobeychik, Y. (2008). Mechanism Design and Analysis Using Simulation-Based Game Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/60786

Chicago Manual of Style (16th Edition):

Vorobeychik, Yevgeniy. “Mechanism Design and Analysis Using Simulation-Based Game Models.” 2008. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/60786.

MLA Handbook (7th Edition):

Vorobeychik, Yevgeniy. “Mechanism Design and Analysis Using Simulation-Based Game Models.” 2008. Web. 23 Jan 2021.

Vancouver:

Vorobeychik Y. Mechanism Design and Analysis Using Simulation-Based Game Models. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/60786.

Council of Science Editors:

Vorobeychik Y. Mechanism Design and Analysis Using Simulation-Based Game Models. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/60786

22. Wiedenbeck, Bryce. Approximate Analysis of Large Simulation-Based Games.

Degree: PhD, Computer Science and Engineering, 2015, University of Michigan

 Game theory offers powerful tools for reasoning about agent behavior and incentives in multi-agent systems. Traditional approaches to game-theoretic analysis require enumeration of all possible… (more)

Subjects/Keywords: simulation-based game theory; Computer Science; Engineering

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APA (6th Edition):

Wiedenbeck, B. (2015). Approximate Analysis of Large Simulation-Based Games. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113587

Chicago Manual of Style (16th Edition):

Wiedenbeck, Bryce. “Approximate Analysis of Large Simulation-Based Games.” 2015. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/113587.

MLA Handbook (7th Edition):

Wiedenbeck, Bryce. “Approximate Analysis of Large Simulation-Based Games.” 2015. Web. 23 Jan 2021.

Vancouver:

Wiedenbeck B. Approximate Analysis of Large Simulation-Based Games. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/113587.

Council of Science Editors:

Wiedenbeck B. Approximate Analysis of Large Simulation-Based Games. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113587

23. Cassell, Ben-Alexander. Scaling Empirical Game-Theoretic Analysis.

Degree: PhD, Computer Science and Engineering, 2014, University of Michigan

 To analyze the incentive structure of strategic multi-agent interactions, such scenarios are often cast as games, where players optimize their payoffs by selecting a strategy… (more)

Subjects/Keywords: empirical game-theoretic analysis; scalability; distributed systems; sequential analysis; Economics; Computer Science; Statistics and Numeric Data; Business and Economics; Engineering; Science

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APA (6th Edition):

Cassell, B. (2014). Scaling Empirical Game-Theoretic Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110315

Chicago Manual of Style (16th Edition):

Cassell, Ben-Alexander. “Scaling Empirical Game-Theoretic Analysis.” 2014. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/110315.

MLA Handbook (7th Edition):

Cassell, Ben-Alexander. “Scaling Empirical Game-Theoretic Analysis.” 2014. Web. 23 Jan 2021.

Vancouver:

Cassell B. Scaling Empirical Game-Theoretic Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/110315.

Council of Science Editors:

Cassell B. Scaling Empirical Game-Theoretic Analysis. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110315

24. Wright, Mason. Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 In environments governed by the behavior of strategically interacting agents, game theory provides a way to predict outcomes in counterfactual scenarios, such as new market… (more)

Subjects/Keywords: simulation-based games; reinforcement learning; game theory; Computer Science; Engineering

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APA (6th Edition):

Wright, M. (2019). Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149991

Chicago Manual of Style (16th Edition):

Wright, Mason. “Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics.” 2019. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/149991.

MLA Handbook (7th Edition):

Wright, Mason. “Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics.” 2019. Web. 23 Jan 2021.

Vancouver:

Wright M. Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/149991.

Council of Science Editors:

Wright M. Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149991

25. Du, Ye. Essays on the Computation of Economic Equilibria and Its Applications.

Degree: PhD, Computer Science & Engineering, 2009, University of Michigan

 The computation of economic equilibria is a central problem in algorithmic game theory. In this dissertation, we investigate the existence of economic equilibria in several… (more)

Subjects/Keywords: Competitive Equilibrium; PPAD; Path Auction; PageRank; Computer Science; Engineering

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APA (6th Edition):

Du, Y. (2009). Essays on the Computation of Economic Equilibria and Its Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64821

Chicago Manual of Style (16th Edition):

Du, Ye. “Essays on the Computation of Economic Equilibria and Its Applications.” 2009. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/64821.

MLA Handbook (7th Edition):

Du, Ye. “Essays on the Computation of Economic Equilibria and Its Applications.” 2009. Web. 23 Jan 2021.

Vancouver:

Du Y. Essays on the Computation of Economic Equilibria and Its Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/64821.

Council of Science Editors:

Du Y. Essays on the Computation of Economic Equilibria and Its Applications. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64821

26. Witwicki, Stefan J. Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 When planning optimal decisions for teams of agents acting in uncertain domains, conventional methods explicitly coordinate all joint policy decisions and, in doing so, are… (more)

Subjects/Keywords: Multiagent Coordination; Optimal Planning; Sequential Decision Making; Agent Interaction Structure; Decentralized Partially Observable Markov Decision Process; Influence Based Policy Abstraction; Computer Science; Engineering

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APA (6th Edition):

Witwicki, S. J. (2011). Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84614

Chicago Manual of Style (16th Edition):

Witwicki, Stefan J. “Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty.” 2011. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/84614.

MLA Handbook (7th Edition):

Witwicki, Stefan J. “Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty.” 2011. Web. 23 Jan 2021.

Vancouver:

Witwicki SJ. Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/84614.

Council of Science Editors:

Witwicki SJ. Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84614

27. Martin, Travis Bennett. Theoretical Tools for Network Analysis: Game Theory, Graph Centrality, and Statistical Inference.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 A computer-driven data explosion has made the difficulty of interpreting large data sets of interconnected entities ever more salient. My work focuses on theoretical tools… (more)

Subjects/Keywords: Network science; Computer Science; Engineering

…network of all college students, students at University of Michigan (UM) display… 

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APA (6th Edition):

Martin, T. B. (2016). Theoretical Tools for Network Analysis: Game Theory, Graph Centrality, and Statistical Inference. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133463

Chicago Manual of Style (16th Edition):

Martin, Travis Bennett. “Theoretical Tools for Network Analysis: Game Theory, Graph Centrality, and Statistical Inference.” 2016. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/133463.

MLA Handbook (7th Edition):

Martin, Travis Bennett. “Theoretical Tools for Network Analysis: Game Theory, Graph Centrality, and Statistical Inference.” 2016. Web. 23 Jan 2021.

Vancouver:

Martin TB. Theoretical Tools for Network Analysis: Game Theory, Graph Centrality, and Statistical Inference. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/133463.

Council of Science Editors:

Martin TB. Theoretical Tools for Network Analysis: Game Theory, Graph Centrality, and Statistical Inference. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133463

28. Dimitrov, Stanko B. Information Procurement and Delivery: Robustness in Prediction Markets and Network Routing.

Degree: PhD, Industrial & Operations Engineering, 2010, University of Michigan

 In this dissertation we address current problems in information procurement and delivery. Uncertainty commonly reduces the efficacy of information procurement systems, such as prediction markets,… (more)

Subjects/Keywords: Network Routing; Prediction Markets; Engineering

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APA (6th Edition):

Dimitrov, S. B. (2010). Information Procurement and Delivery: Robustness in Prediction Markets and Network Routing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/75962

Chicago Manual of Style (16th Edition):

Dimitrov, Stanko B. “Information Procurement and Delivery: Robustness in Prediction Markets and Network Routing.” 2010. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/75962.

MLA Handbook (7th Edition):

Dimitrov, Stanko B. “Information Procurement and Delivery: Robustness in Prediction Markets and Network Routing.” 2010. Web. 23 Jan 2021.

Vancouver:

Dimitrov SB. Information Procurement and Delivery: Robustness in Prediction Markets and Network Routing. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/75962.

Council of Science Editors:

Dimitrov SB. Information Procurement and Delivery: Robustness in Prediction Markets and Network Routing. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/75962

29. Naghizadeh Ardabili, Parinaz. On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber .

Degree: PhD, Electrical Engineering: Systems, 2016, University of Michigan

 Attempts to improve the state of cyber-security have been on the rise over the past years. The importance of incentivizing better security decisions by users… (more)

Subjects/Keywords: Cyber Security; Network Games; Public Goods; Game Theory; Economics; Computer Science; Electrical Engineering; Business and Economics; Engineering

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APA (6th Edition):

Naghizadeh Ardabili, P. (2016). On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber . (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133328

Chicago Manual of Style (16th Edition):

Naghizadeh Ardabili, Parinaz. “On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber .” 2016. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/133328.

MLA Handbook (7th Edition):

Naghizadeh Ardabili, Parinaz. “On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber .” 2016. Web. 23 Jan 2021.

Vancouver:

Naghizadeh Ardabili P. On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber . [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/133328.

Council of Science Editors:

Naghizadeh Ardabili P. On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber . [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133328

30. Brinkman, Erik. Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis.

Degree: PhD, Computer Science & Engineering, 2018, University of Michigan

 Financial market activity is increasingly controlled by algorithms, interacting through electronic markets. Unprecedented information response times, autonomous operation, use of machine learning and other adaptive… (more)

Subjects/Keywords: empirical game-theoretic analysis; financial markets; Computer Science; Engineering

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APA (6th Edition):

Brinkman, E. (2018). Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144031

Chicago Manual of Style (16th Edition):

Brinkman, Erik. “Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis.” 2018. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/144031.

MLA Handbook (7th Edition):

Brinkman, Erik. “Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis.” 2018. Web. 23 Jan 2021.

Vancouver:

Brinkman E. Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/144031.

Council of Science Editors:

Brinkman E. Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144031

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