CASE: A Model for Cognitive Agents in Social Environments
نویسندگان
چکیده
Multi-agent-based computing serves as a foundation for a new breed of computer simulations that act as virtual laboratories for social scientists. Therefore, the realism of the simulations is an important issue in their development. However, developing a realistic system that remains efficient, scalable and user-friendly is difficult. Our software system builds on research in agent-based systems, behavioral economics, psychology and sociology to provide an agent architecture for designing easily deployable and scalable simulations of human social behavior. We demonstrate the effectiveness of this approach with a large-scale distributed simulation of the US financial markets.
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