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  • 2006

  • Sun, Ron (2006): Cognition and multi-agent interaction. From cognitive modeling to social simulation. Cambridge: Cambridge University Press

    Abstract: Prolegomena to integrating cognitive modeling and social simulation / Ron Sun -- Modeling paradigms in ACT-R / Niel Taatgen, Christian Lebiere, and John Anderson -- Considering Soar as an agent architecture / Robert Wray and Randy Jones -- The CLARION cognitive architecture: extending cognitive modeling to social simulation / Ron Sun -- Cognitive architectures, game playing, and human evolution / Robert L. West, Christian Lebiere, Dan J. Bothell -- Simulating a simple case of organizational decision making / Isaac Nevah and Ron Sun -- Cognitive modeling of social behaviors / William J. Clancey, et al. -- Cognitive agents interacting in real and virtual worlds / Bradley J. Best and Christian Lebiere -- Modeling social emotions and social attributions / Jonathan Gratch, et al. -- Communicating and collaborating with robotic agents / J. Gregory Trafton, et al. -- Behavior-based methods for modeling and structuring control of social robots / Dylan A. Shell and Maja J. Matarić -- Evolution of a teamwork model / Nathan Schurr, et al. -- Sociality in embodied neural agents / Domenico Parisi and Stefano Nolfi -- Cognitive architecture and contents for social structures and interactions / Cristiano Castelfranchi -- Cognitive science and good social science / Scott Moss -- Collective cognition and emergence in multi-agent systems / Pietro Panzarasa and Nicholas R. Jennings -- Social judgement in multi-agent systems / Tom R. Burns and Ewa Roszkowska -- Including human variability in a cognitive architecture to improve team simulation / Frank E. Ritter and Emma Norling -- When does social simulation need cognitive models? / Nigel Gilbert 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. 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

  • 2004

  • . International Joint Conference on Autonomous Agents and Multiagent Systems (2004): Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems. AAMAS 2004: New York City, New York, USA: July 19-23, 2004. Los Alamitos, Calif: IEEE Computer Society. Online verfügbar unter http://ieeexplore.ieee.org/servlet/opac?punumber=9442

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