Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics
Tesfatsion, Leigh S.
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 here: http://www.econ.iastate.edu/tesfatsi/ace.htm
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