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Agent-Based Computational Economics

by Manager last modified 2008-02-04 14:33

Graduate Students of Economics

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Introduction to the complex adaptive systems paradigm; Game theory modelling of economic interactions; Simple models of human learning and adaptation; Coordination issues; Building agent-based computational laboratories for the experimental study of economic processes; Visualization of dynamic economic outcomes (e.g., the evolution of trade networks, trade behaviors, market power relations, individual and social welfare levels); Model validation; Illustrative economic applications (e.g., financial markets, labor markets, auction markets, automated Internet markets). Offered for nonmajor graduate credit.


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