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Teaching Agent-Based Computational Economics to Graduate Students

  • Leigh Tesfatsion

    (Iowa State University)

Agent-based computational economics (ACE) is the computational study of economies modelled as evolving decentralized systems of autonomous interacting agents. A key focus of ACE research is understanding how global regularities arise from the bottom up, through the repeated local interactions of autonomous agents channeled through socio-economic institutions, rather than from top down fictitious coordination mechanisms such as imposed market clearing constraints or an assumption of single representative agents. This paper discusses how ACE materials have been introduced into graduate-level courses in macroeconomic theory over the past several years, using an ACE labor market framework for concrete illustration.

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Paper provided by EconWPA in its series Computational Economics with number 9809001.

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Length: 38 pages
Date of creation: 15 Sep 1998
Date of revision: 16 Nov 1998
Handle: RePEc:wpa:wuwpco:9809001
Note: Type of Document - postscript ; prepared on PC using dvips applied to a PC-LaTeX DVI file; to print on postscript printer (or on any printer after opening with ps reader); pages: 38 ; figures: included
Contact details of provider: Web page: http://128.118.178.162

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  14. Dan Ashlock & Mark D. Smucker & E. Ann Stanley & Leigh Tesfatsion, 1995. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Game Theory and Information 9501002, EconWPA, revised 20 Jan 1995.
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