Teaching Agent-Based Computational Economics to Graduate Students

Leigh Tesfatsion ()

Computational Economics from University Library of Munich, Germany

Abstract: 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.

Keywords: agent-based computational economics; evolutionary economics; labor markets; search and matching; C++ framework; evolutionary game; teaching methods (search for similar items in EconPapers)
JEL-codes: C7 C8 D8 E J (search for similar items in EconPapers)
Pages: 38 pages
Date: 1998-09-15, Revised 1998-11-16
New Economics Papers: this item is included in nep-dge, nep-env, nep-evo and nep-mic
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
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Related works:
Working Paper: TEACHING AGENT-BASED COMPUTATIONAL ECONOMICS TO GRADUATE STUDENTS (1998)
Working Paper: Teaching Agent-Based Computational Economics to Graduate Students (1998)
Working Paper: Teaching Agent-Based Computational Economics to Graduate Students (1998)
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpco:9809001

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