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1.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
2.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
3.
Multiagent Business Modeling
by Telang, Pankaj Ramesh, Ph.D.  North Carolina State University. 2013: 194 pages; 3575893.
4.
Object Recognition Based on Multi-Agent Spatial Reasoning
by Yoon, Taehun, Ph.D.  The Ohio State University. 2008: 115 pages; 10631403.
5.
Biologically -inspired control for self -adaptive multiagent systems
by Yu, Chih-Han, Ph.D.  Harvard University. 2010: 226 pages; 3415434.
6.
Minimalist multi-agent filtering and guidance
by Bobadilla Molina, Jaime Leonardo, Ph.D.  University of Illinois at Urbana-Champaign. 2013: 141 pages; 3614523.
7.
Communicating Plans in Ad Hoc Multiagent Teams
by Santarra, Trevor, Ph.D.  University of California, Santa Cruz. 2019: 190 pages; 13809871.
8.
Symmetry analysis applied to multi-agent systems
by Nettleman, Ashley M., M.S.  University of Notre Dame. 2015: 69 pages; 1602612.
9.
Distributed, vision -based control laws for motion coordination in multi-agent systems
by Moshtagh, Nima, Ph.D.  University of Pennsylvania. 2008: 161 pages; 3328697.
10.
The use of organizational self-design to coordinate multiagent systems
by Kamboj, Sachin, Ph.D.  University of Delaware. 2009: 236 pages; 3397070.
12.
Morphogenetic computing and reinforcement learning for multi-agent systems
by Guo, Hongliang, Ph.D.  Stevens Institute of Technology. 2011: 161 pages; 3557278.
13.
Attitude-driven decision making for multi-agent team formation in open and dynamic environments
by Ahn, Jaesuk, Ph.D.  The University of Texas at Austin. 2009: 163 pages; 3372347.
17.
The Coordination Dynamics of Multiple Agents
by Zhang, Mengsen, Ph.D.  Florida Atlantic University. 2018: 148 pages; 10979968.
18.
Designing, Verifying, and Evolving Commitment-based Protocols for Business
by Gerard, Scott Neal, Ph.D.  North Carolina State University. 2013: 150 pages; 3575895.
19.
Physically-based sampling for motion planning
by Gayle, Thomas Russell, Ph.D.  The University of North Carolina at Chapel Hill. 2010: 252 pages; 3409956.
20.
Market-based coordination and auditing mechanisms for self-interested multi-robot systems
by Ham, MyungJoo, Ph.D.  University of Illinois at Urbana-Champaign. 2009: 119 pages; 3395570.
21.
Efficient Multi-Robot Path Planning in Discrete Spaces
by Luna, Ryan, M.S.  University of Nevada, Reno. 2011: 101 pages; 1494166.
22.
Graph-theoretic methods for the analysis and synthesis of networked dynamic systems
by Zelazo, Daniel, Ph.D.  University of Washington. 2009: 121 pages; 3393985.
23.
Any-Com Multi-Robot Path Planning
by Otte, Michael Wilson, Ph.D.  University of Colorado at Boulder. 2011: 194 pages; 3489609.
24.
Control of Self-Reconfigurable Robot teams for sensor placement
by Hays, Jacob, M.S.  Rochester Institute of Technology. 2010: 94 pages; 1477695.
25.
26.
A game -theoretic model of grounding for referential communication tasks
by Thompson, William, Ph.D.  Northwestern University. 2009: 174 pages; 3386515.
27.
Relativistic quantum cryptography
by Kaniewski, Jedrzej, Ph.D.  National University of Singapore (Singapore). 2015: 136 pages; 10006026.
28.
Multiple danger signals and their effect on monocyte derived dendritic cell phenotype and function
by Paustian, Christopher Charles, Ph.D.  Kent State University. 2010: 207 pages; 3417106.
29.
Trajectory Planning for Autonomous Vehicles Performing Information Gathering Tasks
by Kuhlman, Michael Joseph, Ph.D.  University of Maryland, College Park. 2018: 263 pages; 10932207.
30.
An Approach to Dynamic Resource Allocation for Electric Power Disaster Response Management
by Kargbo, Abdulai Hassan, D.Engr.  The George Washington University. 2019: 102 pages; 10981665.
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