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Social Learning and Social Capital: Socioeconomic Simulations Using Mathematica

Richard J. Gaylord
Organization: University of Illinois at Urbana-Champaign
Department: Department of Material Science and Engineering

1998 Worldwide Mathematica Conference
Conference location

Chicago, IL

Computer simulation provides a powerful theoretical tool for studying human social behavior. In this talk, we'll look at simulation models of social phenomena, using a bottom-up or agent-based approach. This approach differs from traditional socioeconomic modeling in that it assumes that: 1) people are heterogeneous, each having his or her own identity, traits, tastes, and memories; 2) people can think rationally or irrationally, intelligently, or naively; 3) people can directly interact unilaterally or multilaterally without the intervention of a central authority; 4) people can change their behavior as they learn from experience and adapt; and 5) people are mobile and can move around simultaneously or ansynchronously.

We'll develop and discuss simulation models of a variety of social phenomena, including the following.

Social Learning
Social Capital
Nonlocal Phenomena


*Social Science > Sociology and Psychology

http://library.wolfram.com/conferences/conference98/abstracts/social_learning_and_social_capital.ht [...]