Agent-based computational economics (ACE) is roughly defined as the computational study of economies modeled 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 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. Related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/ace.htm
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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number
1199.
Length: Date of creation: 30 Sep 1998 Date of revision: Handle: RePEc:isu:genres:1199
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Find related papers by JEL classification: B4 - Schools of Economic Thought and Methodology - - Economic Methodology C0 - Mathematical and Quantitative Methods - - General C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming D5 - Microeconomics - - General Equilibrium and Disequilibrium
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Roth, Alvin E. & Sotomayor, Marilda, 1992.
"Two-sided matching,"
Handbook of Game Theory with Economic Applications,
in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 1, chapter 16, pages 485-541
Elsevier.
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