Frontiers of Engineering Reports on Leading-Edge Engineering from the 2006 Symposium (2007) / Chapter Skim
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Co-Evolution of Social Sciences and Engineering Systems
Co-Evolution of Social Sciences and Engineering Systems
Pages 29-36
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From page 29... ...
At the same time, social scientists are increasingly using software agents to model social processes, where the dominant approach is to represent each person by a software agent. Such models yield high-fidelity depictions of the origin and operation of social institutions (e.g., financial markets, organizational behavior, and the structure of social norms)
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As the capacity of computer hardware increased exponentially, more sophisticated agent models could be built, using either more cognitively complex agents or a larger number of simple agents, or both. Thus, large agent populations were soon realized in practice leading naturally to the metaphor of an artificial society (Builder and Bankes, 1991)
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-- have more or less active research programs using agent computing. Although the nature of these applications is idiosyncratic within particular fields, they are unified methodologically in the search for agent specifications that yield empirically observed (or at least empirically plausible)
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The prospect of automated bargaining, contracting, and exchange among software agents has driven investigators to explore the implications of self-interested agents acting autonomously in computer networks and information technology servers. Because decentralization is an important idea within MAS, ideas from microeconomics and economic general equilibrium theory that focus on decentralization were incorporated into MAS under the rubric "market-oriented programming" (Wellman, 1996)
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When one contemplates the possible desktop hardware of 2020, one can imagine hundreds of gigabytes of ultrafast RAM, fantastic clock and bus speeds, and enormous hard disks. The continuing computer revolution will fundamentally alter the kinds of social science models that can be built.
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2002. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes.
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American Political Science Review 98(2)
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1999. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence.
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