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Agent-Based Computational Economics

  • Aalborg University

Research output: Chapter in Book/Report/Conference proceedingContribution to book/anthologyResearchpeer-review

Abstract

This chapter argues that the economic system is best perceived as a complex adaptive system, and as such, the traditional analytical methods of economics are not optimal for its study. Agent-based computational economics (ACE) studies the economic system from the bottom up and recognizes interaction between autonomous agents as the central mechanism in generating the self-organizing features of economic systems. Besides a discussion of this new economic methodology, a short how-to introduction is given, and the problem of constraining economics as a science within the ACE approach is raised. It is argued that ACE should be perceived as a new methodological approach to the study of economic systems rather than a new approach to economics, and that the use of ACE should be anchored in existing economic theory.

Original languageEnglish
Title of host publicationHandbook of Research on Nature-Inspired Computing for Economics and Management : Volume I-II
Number of pages15
VolumeI
PublisherIGI global
Publication date1 Jan 2006
Pages183-197
ISBN (Print)9781591409847
ISBN (Electronic)9781591409854
DOIs
Publication statusPublished - 1 Jan 2006

Keywords

  • Agent-Based Computational Economics
  • General Equilibrium Theory
  • Keynesian Macroeconomics
  • Macrofoundation
  • Methodological Individualism
  • Microoundation
  • Rational Expectations Hypothesis

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