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

Leigh Tesfatsion () and Kenneth L. Judd ()

Staff General Research Papers from Iowa State University, Department of Economics

Abstract: 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 here: http://www.econ.iastate.edu/tesfatsi/ace.htm

Keywords: Agent-based computational economics; Learning; Networks; Norms; Market design; Financial markets; Innovation and technological change; Organizational theory; Automated markets; Political economics; Environmental economics; Spatial modeling (search for similar items in EconPapers)
JEL-codes: B4 C0 C6 C7 C72 C9 D0 D5 D8 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp, nep-dge and nep-hpe
Date: 2003-05-16
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Persistent link: http://EconPapers.repec.org/RePEc:isu:genres:10368

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