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 language | English |
|---|---|
| Title of host publication | Handbook of Research on Nature-Inspired Computing for Economics and Management : Volume I-II |
| Number of pages | 15 |
| Volume | I |
| Publisher | IGI global |
| Publication date | 1 Jan 2006 |
| Pages | 183-197 |
| ISBN (Print) | 9781591409847 |
| ISBN (Electronic) | 9781591409854 |
| DOIs | |
| Publication status | Published - 1 Jan 2006 |
Keywords
- Agent-Based Computational Economics
- General Equilibrium Theory
- Keynesian Macroeconomics
- Macrofoundation
- Methodological Individualism
- Microoundation
- Rational Expectations Hypothesis
Fingerprint
Dive into the research topics of 'Agent-Based Computational Economics'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver