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Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics

Listed author(s):
  • Tesfatsion, Leigh
  • Judd, Kenneth L.

This handbook comprises 16 chapters surveying agent-based computational economics research, 6 shorter essays providing personal perspectives, and a "getting started" guide for newcomers to agent-based modeling in the social sciences. Research topics covered include: learning representations for computational agents; agent-based models and human-subject experiments; economic activity on fixed networks; endogenous formation of economic networks; social dynamics and the evolution of norms; heterogenous agent modeling in economics and finance; agent-based computational finance; agent-based models of innovation and technological change; agent-based models of organizations; market design using agent-based models; automated markets and trading agents; agent-based computational methods and models of politics; agent-based tools for exploring the governance of social-ecological systems; and computational laboratories for spatial agent-based modeling. Related work can be accessed at

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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers Archive with number 10368.

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Date of creation: 01 Apr 2006
Handle: RePEc:isu:genres:10368
Contact details of provider: Postal:
Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070

Phone: +1 515.294.6741
Fax: +1 515.294.0221
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