Cambridge University Press, 12/5/2005EAN 9780521839648, ISBN10: 0521839645Hardcover, 450 pages, 22.9 x 15.2 x 2.9 cmLanguage: EnglishThis 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. They bring with them enormous intellectual capitals. These intellectual capitals can be profitably leveraged in creating true synergy between the two fields, leading to more in-depth studies and better understanding of both individual cognition and sociocultural processes. It is possible that an integrative field of study in cognitive and social sciences is emerging and we are laying the foundation for it.Part I. Introduction1. Prolegomena to integrating cognitive modeling and social simulation Ron SunPart II. Overviews of Cognitive Architectures2. Modeling paradigms in ACT-R Niel Taatgen, Christian Lebiere and John Anderson3. Considering Soar as an agent architecture Robert Wray and Randolph M. Jones4. The CLARION cognitive architectureextending cognitive modeling to social simulation Ron SunPart III. Modeling and Simulating Cognitive and Social Processes5. Cognitive architectures, game playing, and human evolution Robert West, Christian Lebiere, and Dan Bothell6. Simulating a simple case of organizational decision making Isaac Naveh and Ron Sun7. Cognitive modeling of social behaviors William J. Clancey, Maarten Sierhuis, Bruce Damer, and Boris Brodsky8. Cognitive agents interacting in real and virtual worlds Brad Best and Christian Lebiere9. Modeling social emotions and social attributions Jonathan Gratch, Wenji Mao, and Stacy Marcella10. 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 Adams11. Behavior-based methods for modeling and structuring control of social robots Dylan Shell and Maja Mataric12. Evolution of a teamwork model Nathan Schurr, Steven Okamoto, Rajiv T. Matheswaran, and Milind Tambe13. Sociality in embodied neural agents Domenico Parisi and Stefano Nolfi14. Cognitive architecture and contents for social structures and interactions Cristiano CastelfranchiPart IV. A Symposium15. Cognitive science and good social science Scott Moss16. Collective cognition and emergence in multi-agent systems Pietro Panzarasa and Nick Jennings17. Social judgement in multi-agent systems Tom Burns and Ewa Roszkowska18. Including human variability in a cognitive architecture to improve team simulation Frank Ritter and Emma Norling19. When does social simulation need cognitive models? Nigel Gilbert.