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Cognition and Multi-Agent Interaction
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  • Page extent: 450 pages
  • Size: 228 x 152 mm
  • Weight: 0.83 kg
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 (ISBN-13: 9780521839648 | ISBN-10: 0521839645)

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$112.00 (P)

This book explores the intersection between cognitive sciences and social sciences. In particular, it explores the intersection between individual cognitive modeling and modeling of multi-agent interaction (social stimulation). The two contributing fields--individual cognitive modeling (especially cognitive architectures) and modeling of multi-agent interaction (including social simulation and, to some extent, multi-agent systems)--have seen phenomenal growth in recent years. However, the interaction of these two fields has not been sufficiently developed. We believe that the interaction of the two may be more significant than either alone.


Part I. Introduction: 1. Prolegomena to integrating cognitive modeling and social simulation Ron Sun; Part II. Overviews of Cognitive Architectures: 2. Modeling paradigms in ACT-R Niel Taatgen, Christian Lebiere and John Anderson; 3. Considering Soar as an agent architecture Robert Wray and Randolph M. Jones; 4. The CLARION cognitive architecture: extending cognitive modeling to social simulation Ron Sun; Part III. Modeling and Simulating Cognitive and Social Processes: 5. Cognitive architectures, game playing, and human evolution Robert West, Christian Lebiere, and Dan Bothell; 6. Simulating a simple case of organizational decision making Isaac Naveh and Ron Sun; 7. Cognitive modeling of social behaviors William J. Clancey, Maarten Sierhuis, Bruce Damer, and Boris Brodsky; 8. Cognitive agents interacting in real and virtual worlds Brad Best and Christian Lebiere; 9. Modeling social emotions and social attributions Jonathan Gratch, Wenji Mao, and Stacy Marcella; 10. Communicating and collaborating with robotic agents J. Gregory Trafton, Alan C. Schultz, Nicholas L. Cassimatis, Laura M. Hiatt, Dennis Perzanowski, Derek P. Brock, Magdalena D. Bugajska, and William Adams; 11. Behavior-based methods for modeling and structuring control of social robots Dylan Shell and Maja Mataric; 12. Evolution of a teamwork model Nathan Schurr, Steven Okamoto, Rajiv T. Matheswaran, and Milind Tambe; 13. Sociality in embodied neural agents Domenico Parisi and Stefano Nolfi; 14. Cognitive architecture and contents for social structures and interactions Cristiano Castelfranchi; Part IV. A Symposium: 15. Cognitive science and good social science Scott Moss; 16. Collective cognition and emergence in multi-agent systems Pietro Panzarasa and Nick Jennings; 17. Social judgement in multi-agent systems Tom Burns and Ewa Roszkowska; 18. Including human variability in a cognitive architecture to improve team simulation Frank Ritter and Emma Norling; 19. When does social simulation need cognitive models? Nigel Gilbert.


William Adams, John Anderson, Brad Best, Dan J. Bothell, Derek P. Brock, Boris Brodsky, Magdalena D. Bugajska, Tom R. Burns, Nicholas L. Cassimatis, Cristiano Castelfranchi, William J. Clancey, Bruce Damer, Nigel Gilbert, Jonathan Gratch, Laura M. Hiatt, Nicholas R. Jennings, Randolph M. Jones, Christian Lebiere, Rajiv T. Maheswaran, Wenji Mao, Stacy Marsella, Maja J. Mataric, Scott Moss, Isaac Naveh, Stefano Nolfi, Emma Norling, Steven Okamoto, Pietro Panzarasa, Domenico Parisi, Dennis Perzanowski, Frank E. Ritter, Ewa Roszowska, Paul Scerri, Alan C. Schultz, Nathan Schurr, Dylan A. Shell, Maarten Sierhuis, Ron Sun, Niels Taatgen, Milind Tambe, J. Gregory Trafton, Robert L. West, Robert E. Wray

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