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You searched for +publisher:"University of Michigan" +contributor:("Durfee, Edmund H"). Showing records 1 – 30 of 33 total matches.

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University of Michigan

1. Sleight, Jason Lee. Agent-Driven Representations, Algorithms, and Metrics for Automated Organizational Design.

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

 As cooperative multiagent systems (MASs) increase in interconnectivity, complexity, size, and longevity, coordinating the agents' reasoning and behaviors becomes increasingly difficult. One approach to address… (more)

Subjects/Keywords: Artificial Intelligence; Multiagent Coordination; Organizational Design; Computer Science; Engineering

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APA (6th Edition):

Sleight, J. L. (2015). Agent-Driven Representations, Algorithms, and Metrics for Automated Organizational Design. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113616

Chicago Manual of Style (16th Edition):

Sleight, Jason Lee. “Agent-Driven Representations, Algorithms, and Metrics for Automated Organizational Design.” 2015. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/113616.

MLA Handbook (7th Edition):

Sleight, Jason Lee. “Agent-Driven Representations, Algorithms, and Metrics for Automated Organizational Design.” 2015. Web. 04 Mar 2021.

Vancouver:

Sleight JL. Agent-Driven Representations, Algorithms, and Metrics for Automated Organizational Design. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/113616.

Council of Science Editors:

Sleight JL. Agent-Driven Representations, Algorithms, and Metrics for Automated Organizational Design. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113616


University of Michigan

2. Strom, Johannes H. Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments.

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

 This thesis investigates some of the sensing and perception challenges faced by multi-robot teams equipped with LIDAR and camera sensors. Multi-robot teams are ideal for… (more)

Subjects/Keywords: field robotics; mapping; segmentation; camera calibration; signal-strength prediction; occupancy-grid; Computer Science; Engineering

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APA (6th Edition):

Strom, J. H. (2015). Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113516

Chicago Manual of Style (16th Edition):

Strom, Johannes H. “Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments.” 2015. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/113516.

MLA Handbook (7th Edition):

Strom, Johannes H. “Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments.” 2015. Web. 04 Mar 2021.

Vancouver:

Strom JH. Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/113516.

Council of Science Editors:

Strom JH. Online Mapping and Perception Algorithms for Multi-robot Teams Operating in Urban Environments. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113516


University of Michigan

3. Zhang, Shun. Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety.

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

 When a computational agent (called the “robot”) takes actions on behalf of a human user, it may be uncertain about the human’s preferences. The human… (more)

Subjects/Keywords: human-agent interaction; Markov decisions processes; query selection algorithms; planning under uncertainty; Computer Science; Engineering

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APA (6th Edition):

Zhang, S. (2020). Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163125

Chicago Manual of Style (16th Edition):

Zhang, Shun. “Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety.” 2020. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/163125.

MLA Handbook (7th Edition):

Zhang, Shun. “Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety.” 2020. Web. 04 Mar 2021.

Vancouver:

Zhang S. Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/163125.

Council of Science Editors:

Zhang S. Efficiently Finding Approximately-Optimal Queries for Improving Policies and Guaranteeing Safety. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163125


University of Michigan

4. Zhang, Qi. Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination.

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

 In a large number of real world domains, such as the control of autonomous vehicles, team sports, medical diagnosis and treatment, and many others, multiple… (more)

Subjects/Keywords: Multiagent Coordination; Sequential Decision Making; Commitment; Markov Decision Process; Computer Science; Engineering

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APA (6th Edition):

Zhang, Q. (2020). Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162948

Chicago Manual of Style (16th Edition):

Zhang, Qi. “Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination.” 2020. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/162948.

MLA Handbook (7th Edition):

Zhang, Qi. “Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination.” 2020. Web. 04 Mar 2021.

Vancouver:

Zhang Q. Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/162948.

Council of Science Editors:

Zhang Q. Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/162948


University of Michigan

5. Cox, Jeffrey S. Efficient methods for solving the multiagent plan coordination problem.

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

 The Multiagent Plan Coordination Problem arises whenever multiple agents plan to achieve their individual goals independently, but might mutually benefit by coordinating their plans to… (more)

Subjects/Keywords: Artificial Intelligence; Coordination; Efficient; Methods; Multiagent; Plan; Planning; Problem; Solving

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APA (6th Edition):

Cox, J. S. (2005). Efficient methods for solving the multiagent plan coordination problem. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125333

Chicago Manual of Style (16th Edition):

Cox, Jeffrey S. “Efficient methods for solving the multiagent plan coordination problem.” 2005. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/125333.

MLA Handbook (7th Edition):

Cox, Jeffrey S. “Efficient methods for solving the multiagent plan coordination problem.” 2005. Web. 04 Mar 2021.

Vancouver:

Cox JS. Efficient methods for solving the multiagent plan coordination problem. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/125333.

Council of Science Editors:

Cox JS. Efficient methods for solving the multiagent plan coordination problem. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/125333


University of Michigan

6. Huber, Marcus James. Plan-based plan recognition models for the effective coordination of agents through observation.

Degree: PhD, Computer science, 1996, University of Michigan

 Our research is aimed at providing agents with the ability to use observations of actions taken by others not only to recognize current actions but… (more)

Subjects/Keywords: Agents; Artificial Intelligence; Based; Belief Networks; Coordination; Effective; Models; Observation; Plan; Procedural Reasoning; Recognition

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APA (6th Edition):

Huber, M. J. (1996). Plan-based plan recognition models for the effective coordination of agents through observation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130017

Chicago Manual of Style (16th Edition):

Huber, Marcus James. “Plan-based plan recognition models for the effective coordination of agents through observation.” 1996. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/130017.

MLA Handbook (7th Edition):

Huber, Marcus James. “Plan-based plan recognition models for the effective coordination of agents through observation.” 1996. Web. 04 Mar 2021.

Vancouver:

Huber MJ. Plan-based plan recognition models for the effective coordination of agents through observation. [Internet] [Doctoral dissertation]. University of Michigan; 1996. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/130017.

Council of Science Editors:

Huber MJ. Plan-based plan recognition models for the effective coordination of agents through observation. [Doctoral Dissertation]. University of Michigan; 1996. Available from: http://hdl.handle.net/2027.42/130017


University of Michigan

7. Vidal, Jose M. Computational agents that learn about agents: Algorithms for their design and a predictive theory of their behavior.

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

 In this thesis, we show how to build agents that learn about agents in Multi-Agent Systems (MASs) composed of learning agents. We give a framework… (more)

Subjects/Keywords: Algorithms; Behavior; Computational Agents; Design; Learn; Learning Agents; Predictive; Recursive Models; Theory

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APA (6th Edition):

Vidal, J. M. (1998). Computational agents that learn about agents: Algorithms for their design and a predictive theory of their behavior. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/131343

Chicago Manual of Style (16th Edition):

Vidal, Jose M. “Computational agents that learn about agents: Algorithms for their design and a predictive theory of their behavior.” 1998. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/131343.

MLA Handbook (7th Edition):

Vidal, Jose M. “Computational agents that learn about agents: Algorithms for their design and a predictive theory of their behavior.” 1998. Web. 04 Mar 2021.

Vancouver:

Vidal JM. Computational agents that learn about agents: Algorithms for their design and a predictive theory of their behavior. [Internet] [Doctoral dissertation]. University of Michigan; 1998. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/131343.

Council of Science Editors:

Vidal JM. Computational agents that learn about agents: Algorithms for their design and a predictive theory of their behavior. [Doctoral Dissertation]. University of Michigan; 1998. Available from: http://hdl.handle.net/2027.42/131343


University of Michigan

8. Sen, Sandip. Predicting tradeoffs in contract-based distributed scheduling.

Degree: PhD, Computer Science and Engineering, 1993, University of Michigan

 We are interested in building intelligent, autonomous software agents that can relieve human users from the burden of routine, tedious information processing activities in organizations.… (more)

Subjects/Keywords: Computer Science

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APA (6th Edition):

Sen, S. (1993). Predicting tradeoffs in contract-based distributed scheduling. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/103842

Chicago Manual of Style (16th Edition):

Sen, Sandip. “Predicting tradeoffs in contract-based distributed scheduling.” 1993. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/103842.

MLA Handbook (7th Edition):

Sen, Sandip. “Predicting tradeoffs in contract-based distributed scheduling.” 1993. Web. 04 Mar 2021.

Vancouver:

Sen S. Predicting tradeoffs in contract-based distributed scheduling. [Internet] [Doctoral dissertation]. University of Michigan; 1993. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/103842.

Council of Science Editors:

Sen S. Predicting tradeoffs in contract-based distributed scheduling. [Doctoral Dissertation]. University of Michigan; 1993. Available from: http://hdl.handle.net/2027.42/103842


University of Michigan

9. Montgomery, Thomas Anthony. The use of abstraction in coordinating artificially intelligent agents.

Degree: PhD, Computer Science and Engineering, 1993, University of Michigan

 The coordination of networked computer systems (and of other distributed intelligent agents) is becoming an increasingly important area of research. By viewing the process of… (more)

Subjects/Keywords: Artificial Intelligence; Computer Science

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APA (6th Edition):

Montgomery, T. A. (1993). The use of abstraction in coordinating artificially intelligent agents. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/103458

Chicago Manual of Style (16th Edition):

Montgomery, Thomas Anthony. “The use of abstraction in coordinating artificially intelligent agents.” 1993. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/103458.

MLA Handbook (7th Edition):

Montgomery, Thomas Anthony. “The use of abstraction in coordinating artificially intelligent agents.” 1993. Web. 04 Mar 2021.

Vancouver:

Montgomery TA. The use of abstraction in coordinating artificially intelligent agents. [Internet] [Doctoral dissertation]. University of Michigan; 1993. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/103458.

Council of Science Editors:

Montgomery TA. The use of abstraction in coordinating artificially intelligent agents. [Doctoral Dissertation]. University of Michigan; 1993. Available from: http://hdl.handle.net/2027.42/103458


University of Michigan

10. Pappachan, Pradeep M. Coordinating plan execution in dynamic multiagent environments.

Degree: PhD, Computer science, 2002, University of Michigan

 Autonomous agents operating in shared, dynamic environments need to coordinate their plans to preclude negative interactions. In this dissertation, we describe an online algorithm that… (more)

Subjects/Keywords: Autonomous Agents; Coordinating; Coordination; Dynamic; Environments; Multiagent; Plan Execution

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APA (6th Edition):

Pappachan, P. M. (2002). Coordinating plan execution in dynamic multiagent environments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130344

Chicago Manual of Style (16th Edition):

Pappachan, Pradeep M. “Coordinating plan execution in dynamic multiagent environments.” 2002. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/130344.

MLA Handbook (7th Edition):

Pappachan, Pradeep M. “Coordinating plan execution in dynamic multiagent environments.” 2002. Web. 04 Mar 2021.

Vancouver:

Pappachan PM. Coordinating plan execution in dynamic multiagent environments. [Internet] [Doctoral dissertation]. University of Michigan; 2002. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/130344.

Council of Science Editors:

Pappachan PM. Coordinating plan execution in dynamic multiagent environments. [Doctoral Dissertation]. University of Michigan; 2002. Available from: http://hdl.handle.net/2027.42/130344


University of Michigan

11. Brooks, Christopher H. Niche formation and efficient learning of consumer preferences in a dynamic information economy.

Degree: PhD, Computer science, 2002, University of Michigan

 In many multiagent systems, agents are required to solve a generalization of the connection problem, locating other agents that they want to interact with. This… (more)

Subjects/Keywords: Consumer Preferences; Dynamic; Economy; Efficient; Electronic Commerce; Information; Learning; Multiagent; Niche Formation

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APA (6th Edition):

Brooks, C. H. (2002). Niche formation and efficient learning of consumer preferences in a dynamic information economy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/123134

Chicago Manual of Style (16th Edition):

Brooks, Christopher H. “Niche formation and efficient learning of consumer preferences in a dynamic information economy.” 2002. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/123134.

MLA Handbook (7th Edition):

Brooks, Christopher H. “Niche formation and efficient learning of consumer preferences in a dynamic information economy.” 2002. Web. 04 Mar 2021.

Vancouver:

Brooks CH. Niche formation and efficient learning of consumer preferences in a dynamic information economy. [Internet] [Doctoral dissertation]. University of Michigan; 2002. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/123134.

Council of Science Editors:

Brooks CH. Niche formation and efficient learning of consumer preferences in a dynamic information economy. [Doctoral Dissertation]. University of Michigan; 2002. Available from: http://hdl.handle.net/2027.42/123134


University of Michigan

12. Clement, Bradley Jefferson. Abstract reasoning for multiagent coordination and planning.

Degree: PhD, Computer science, 2002, University of Michigan

 As autonomous software and robotic systems (or agents) grow in complexity, they will increasingly need to communicate and coordinate with each other. These agents will… (more)

Subjects/Keywords: Abstract Reasoning; Artificial Intelligence; Autonomous Software; Coordination; Multiagent; Planning; Robotics; Scheduling

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APA (6th Edition):

Clement, B. J. (2002). Abstract reasoning for multiagent coordination and planning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/129322

Chicago Manual of Style (16th Edition):

Clement, Bradley Jefferson. “Abstract reasoning for multiagent coordination and planning.” 2002. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/129322.

MLA Handbook (7th Edition):

Clement, Bradley Jefferson. “Abstract reasoning for multiagent coordination and planning.” 2002. Web. 04 Mar 2021.

Vancouver:

Clement BJ. Abstract reasoning for multiagent coordination and planning. [Internet] [Doctoral dissertation]. University of Michigan; 2002. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/129322.

Council of Science Editors:

Clement BJ. Abstract reasoning for multiagent coordination and planning. [Doctoral Dissertation]. University of Michigan; 2002. Available from: http://hdl.handle.net/2027.42/129322


University of Michigan

13. Lee, Jaeho. An explicit semantics for coordinated multiagent plan execution.

Degree: PhD, Computer science, 1997, University of Michigan

 An agent coordinating with another needs a model of the other agent to avoid interference or to promote cooperation. Generally, a model consists of both… (more)

Subjects/Keywords: Coordinated; Execution; Explicit; Multiagent; Plan; Semantics

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APA (6th Edition):

Lee, J. (1997). An explicit semantics for coordinated multiagent plan execution. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130286

Chicago Manual of Style (16th Edition):

Lee, Jaeho. “An explicit semantics for coordinated multiagent plan execution.” 1997. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/130286.

MLA Handbook (7th Edition):

Lee, Jaeho. “An explicit semantics for coordinated multiagent plan execution.” 1997. Web. 04 Mar 2021.

Vancouver:

Lee J. An explicit semantics for coordinated multiagent plan execution. [Internet] [Doctoral dissertation]. University of Michigan; 1997. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/130286.

Council of Science Editors:

Lee J. An explicit semantics for coordinated multiagent plan execution. [Doctoral Dissertation]. University of Michigan; 1997. Available from: http://hdl.handle.net/2027.42/130286


University of Michigan

14. Dolgov, Dmitri A. Integrated resource allocation and planning in stochastic multiagent environments.

Degree: PhD, Computer science, 2006, University of Michigan

 Resource allocation is a ubiquitous problem that arises whenever scarce resources have to be distributed among multiple autonomous entities (e.g., people, companies, robots). Stochastic planning… (more)

Subjects/Keywords: Artificial Intelligence; Environments; Integrated; Markov Decision Processes; Planning; Resource Allocation; Stochastic Multiagent

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APA (6th Edition):

Dolgov, D. A. (2006). Integrated resource allocation and planning in stochastic multiagent environments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126015

Chicago Manual of Style (16th Edition):

Dolgov, Dmitri A. “Integrated resource allocation and planning in stochastic multiagent environments.” 2006. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/126015.

MLA Handbook (7th Edition):

Dolgov, Dmitri A. “Integrated resource allocation and planning in stochastic multiagent environments.” 2006. Web. 04 Mar 2021.

Vancouver:

Dolgov DA. Integrated resource allocation and planning in stochastic multiagent environments. [Internet] [Doctoral dissertation]. University of Michigan; 2006. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/126015.

Council of Science Editors:

Dolgov DA. Integrated resource allocation and planning in stochastic multiagent environments. [Doctoral Dissertation]. University of Michigan; 2006. Available from: http://hdl.handle.net/2027.42/126015

15. 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 March 04, 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. 04 Mar 2021.

Vancouver:

Wolfe BD. Modeling Dynamical Systems with Structured Predictive State Representations. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2021 Mar 04]. 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

16. 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 March 04, 2021. http://hdl.handle.net/2027.42/95999.

MLA Handbook (7th Edition):

Duong, Quang A. “Graphical Multiagent Models.” 2012. Web. 04 Mar 2021.

Vancouver:

Duong QA. Graphical Multiagent Models. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Mar 04]. 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

17. 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 March 04, 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. 04 Mar 2021.

Vancouver:

Boerkoel Jr JC. Distributed Approaches for Solving Constraint-based Multiagent Scheduling Problems. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Mar 04]. 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

18. Bloch, Mitchell. Computationally Efficient Relational Reinforcement Learning.

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

 Relational Reinforcement Learning (RRL) is a technique that enables Reinforcement Learning (RL) agents to generalize from their experience, allowing them to learn over large or… (more)

Subjects/Keywords: Relational Reinforcement Learning; Rete; Adaptive Tile Coding; Online Learning; Sequential Decision Making; Computer Science; Engineering

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APA (6th Edition):

Bloch, M. (2018). Computationally Efficient Relational Reinforcement Learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145859

Chicago Manual of Style (16th Edition):

Bloch, Mitchell. “Computationally Efficient Relational Reinforcement Learning.” 2018. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/145859.

MLA Handbook (7th Edition):

Bloch, Mitchell. “Computationally Efficient Relational Reinforcement Learning.” 2018. Web. 04 Mar 2021.

Vancouver:

Bloch M. Computationally Efficient Relational Reinforcement Learning. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/145859.

Council of Science Editors:

Bloch M. Computationally Efficient Relational Reinforcement Learning. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145859

19. 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 March 04, 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. 04 Mar 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 Mar 04]. 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

20. 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 March 04, 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. 04 Mar 2021.

Vancouver:

Vorobeychik Y. Mechanism Design and Analysis Using Simulation-Based Game Models. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2021 Mar 04]. 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

21. Jackson, Justin Patrick. Constrained Task Assignment and Scheduling on Networks of Arbitrary Topology.

Degree: PhD, Aerospace Engineering, 2012, University of Michigan

 This dissertation develops a framework to address centralized and distributed constrained task assignment and task scheduling problems. This framework is used to prove properties of… (more)

Subjects/Keywords: Who Does What and When, When Who Can Talk to Who Is in Question.; Aerospace Engineering; Engineering

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APA (6th Edition):

Jackson, J. P. (2012). Constrained Task Assignment and Scheduling on Networks of Arbitrary Topology. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91527

Chicago Manual of Style (16th Edition):

Jackson, Justin Patrick. “Constrained Task Assignment and Scheduling on Networks of Arbitrary Topology.” 2012. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/91527.

MLA Handbook (7th Edition):

Jackson, Justin Patrick. “Constrained Task Assignment and Scheduling on Networks of Arbitrary Topology.” 2012. Web. 04 Mar 2021.

Vancouver:

Jackson JP. Constrained Task Assignment and Scheduling on Networks of Arbitrary Topology. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/91527.

Council of Science Editors:

Jackson JP. Constrained Task Assignment and Scheduling on Networks of Arbitrary Topology. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91527

22. 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 March 04, 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. 04 Mar 2021.

Vancouver:

Witwicki SJ. Abstracting Influences for Efficient Multiagent Coordination Under Uncertainty. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Mar 04]. 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

23. Mohan, Shiwali. From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction.

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

 Intelligent collaborative agents are becoming common in the human society. From virtual assistants such as Siri and Google Now to assistive robots, they contribute to… (more)

Subjects/Keywords: interactive task learning; situated interactive instruction; human-robot interaction; robot learning; grounded language comprehension; interactive agents; Chemical Engineering; Engineering

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APA (6th Edition):

Mohan, S. (2015). From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/111573

Chicago Manual of Style (16th Edition):

Mohan, Shiwali. “From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction.” 2015. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/111573.

MLA Handbook (7th Edition):

Mohan, Shiwali. “From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction.” 2015. Web. 04 Mar 2021.

Vancouver:

Mohan S. From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/111573.

Council of Science Editors:

Mohan S. From Verbs to Tasks: An Integrated Account of Learning Tasks from Situated Interactive Instruction. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/111573

24. Li, Ning Hui. The Goal Re-activation Problem in Cognitive Architectures.

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

 Intelligent agents in the real world have to manage multiple goals. However, the pursuit of some goals may only be possible under specific conditions which,… (more)

Subjects/Keywords: cognitive architecture; prospective memory; Computer Science; Engineering

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APA (6th Edition):

Li, N. H. (2016). The Goal Re-activation Problem in Cognitive Architectures. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120676

Chicago Manual of Style (16th Edition):

Li, Ning Hui. “The Goal Re-activation Problem in Cognitive Architectures.” 2016. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/120676.

MLA Handbook (7th Edition):

Li, Ning Hui. “The Goal Re-activation Problem in Cognitive Architectures.” 2016. Web. 04 Mar 2021.

Vancouver:

Li NH. The Goal Re-activation Problem in Cognitive Architectures. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/120676.

Council of Science Editors:

Li NH. The Goal Re-activation Problem in Cognitive Architectures. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120676


University of Michigan

25. Park, Sunju. The p -strategy: An adaptive agent bidding strategy based on stochastic modeling for continuous double auctions.

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

 We expect an e-commerce infrastructure to be populated by software agents who buy and sell goods on behalf of their human owners. As a step… (more)

Subjects/Keywords: Adaptive Agent; Based; Bidding; Continuous Double Auctions; P-strategy; Stochastic Modeling

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APA (6th Edition):

Park, S. (1999). The p -strategy: An adaptive agent bidding strategy based on stochastic modeling for continuous double auctions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132219

Chicago Manual of Style (16th Edition):

Park, Sunju. “The p -strategy: An adaptive agent bidding strategy based on stochastic modeling for continuous double auctions.” 1999. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/132219.

MLA Handbook (7th Edition):

Park, Sunju. “The p -strategy: An adaptive agent bidding strategy based on stochastic modeling for continuous double auctions.” 1999. Web. 04 Mar 2021.

Vancouver:

Park S. The p -strategy: An adaptive agent bidding strategy based on stochastic modeling for continuous double auctions. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/132219.

Council of Science Editors:

Park S. The p -strategy: An adaptive agent bidding strategy based on stochastic modeling for continuous double auctions. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/132219


University of Michigan

26. Atkins, Ella Marie. Plan generation and hard real -time execution with application to safe, autonomous flight.

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

 We address the problem of constructing and executing control plans for safe, fully-autonomous operation within a complex real-time domain where the combination of an incomplete… (more)

Subjects/Keywords: Application; Autonomous Flight; Flight Plan Generation; Hard; Real-time Execution; Safe; Scheduling

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APA (6th Edition):

Atkins, E. M. (1999). Plan generation and hard real -time execution with application to safe, autonomous flight. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132068

Chicago Manual of Style (16th Edition):

Atkins, Ella Marie. “Plan generation and hard real -time execution with application to safe, autonomous flight.” 1999. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/132068.

MLA Handbook (7th Edition):

Atkins, Ella Marie. “Plan generation and hard real -time execution with application to safe, autonomous flight.” 1999. Web. 04 Mar 2021.

Vancouver:

Atkins EM. Plan generation and hard real -time execution with application to safe, autonomous flight. [Internet] [Doctoral dissertation]. University of Michigan; 1999. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/132068.

Council of Science Editors:

Atkins EM. Plan generation and hard real -time execution with application to safe, autonomous flight. [Doctoral Dissertation]. University of Michigan; 1999. Available from: http://hdl.handle.net/2027.42/132068


University of Michigan

27. Musliner, David John. CIRCA: The Cooperative Intelligent Real-time Control Architecture.

Degree: PhD, Computer Science and Engineering, 1993, University of Michigan

 The Cooperative Intelligent Real-time Control Architecture (CIRCA) is a novel architecture for intelligent real-time control that can guarantee to meet hard deadlines while still using… (more)

Subjects/Keywords: Engineering, Electronics and Electrical; Artificial Intelligence; Computer Science

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APA (6th Edition):

Musliner, D. J. (1993). CIRCA: The Cooperative Intelligent Real-time Control Architecture. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/103819

Chicago Manual of Style (16th Edition):

Musliner, David John. “CIRCA: The Cooperative Intelligent Real-time Control Architecture.” 1993. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/103819.

MLA Handbook (7th Edition):

Musliner, David John. “CIRCA: The Cooperative Intelligent Real-time Control Architecture.” 1993. Web. 04 Mar 2021.

Vancouver:

Musliner DJ. CIRCA: The Cooperative Intelligent Real-time Control Architecture. [Internet] [Doctoral dissertation]. University of Michigan; 1993. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/103819.

Council of Science Editors:

Musliner DJ. CIRCA: The Cooperative Intelligent Real-time Control Architecture. [Doctoral Dissertation]. University of Michigan; 1993. Available from: http://hdl.handle.net/2027.42/103819


University of Michigan

28. Gmytrasiewicz, Piotr Jan. A decision-theoretic model of coordination and communication in autonomous systems.

Degree: PhD, Nuclear Engineering, 1992, University of Michigan

 This thesis presents a formal model of rational, autonomous behavior in single- and multi-agent domains, together with its implementation – the Rational Reasoning System (RRS). The… (more)

Subjects/Keywords: Psychology, Social; Economics, Theory; Artificial Intelligence; Computer Science

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APA (6th Edition):

Gmytrasiewicz, P. J. (1992). A decision-theoretic model of coordination and communication in autonomous systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/105896

Chicago Manual of Style (16th Edition):

Gmytrasiewicz, Piotr Jan. “A decision-theoretic model of coordination and communication in autonomous systems.” 1992. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/105896.

MLA Handbook (7th Edition):

Gmytrasiewicz, Piotr Jan. “A decision-theoretic model of coordination and communication in autonomous systems.” 1992. Web. 04 Mar 2021.

Vancouver:

Gmytrasiewicz PJ. A decision-theoretic model of coordination and communication in autonomous systems. [Internet] [Doctoral dissertation]. University of Michigan; 1992. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/105896.

Council of Science Editors:

Gmytrasiewicz PJ. A decision-theoretic model of coordination and communication in autonomous systems. [Doctoral Dissertation]. University of Michigan; 1992. Available from: http://hdl.handle.net/2027.42/105896


University of Michigan

29. Li, Haksun. Execution resource allocation for distributed real -time controllers.

Degree: PhD, Computer science, 2004, University of Michigan

 Automated agents operating in a real-time environment face the challenge of not having sufficient resources to execute their preferred control plans to monitor and react… (more)

Subjects/Keywords: Distributed Systems; Execution; Multiagent; Real-time Controllers; Resource Allocation

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APA (6th Edition):

Li, H. (2004). Execution resource allocation for distributed real -time controllers. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124239

Chicago Manual of Style (16th Edition):

Li, Haksun. “Execution resource allocation for distributed real -time controllers.” 2004. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/124239.

MLA Handbook (7th Edition):

Li, Haksun. “Execution resource allocation for distributed real -time controllers.” 2004. Web. 04 Mar 2021.

Vancouver:

Li H. Execution resource allocation for distributed real -time controllers. [Internet] [Doctoral dissertation]. University of Michigan; 2004. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/124239.

Council of Science Editors:

Li H. Execution resource allocation for distributed real -time controllers. [Doctoral Dissertation]. University of Michigan; 2004. Available from: http://hdl.handle.net/2027.42/124239


University of Michigan

30. Schwartz, Peter J. Managing Complex Scheduling Problems with Dynamic and Hybrid Constraints.

Degree: PhD, Computer Science & Engineering, 2007, University of Michigan

 The task of scheduling can often be a difficult one because of the inherent complexity of real-world problems. In the field of Artificial Intelligence, many… (more)

Subjects/Keywords: Scheduling; Constraint Processing; Dynamic Constraints; Hybrid Constraints; Artificial Intelligence; Computer Science; Engineering

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APA (6th Edition):

Schwartz, P. J. (2007). Managing Complex Scheduling Problems with Dynamic and Hybrid Constraints. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/57625

Chicago Manual of Style (16th Edition):

Schwartz, Peter J. “Managing Complex Scheduling Problems with Dynamic and Hybrid Constraints.” 2007. Doctoral Dissertation, University of Michigan. Accessed March 04, 2021. http://hdl.handle.net/2027.42/57625.

MLA Handbook (7th Edition):

Schwartz, Peter J. “Managing Complex Scheduling Problems with Dynamic and Hybrid Constraints.” 2007. Web. 04 Mar 2021.

Vancouver:

Schwartz PJ. Managing Complex Scheduling Problems with Dynamic and Hybrid Constraints. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2027.42/57625.

Council of Science Editors:

Schwartz PJ. Managing Complex Scheduling Problems with Dynamic and Hybrid Constraints. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/57625

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