Iowa State University Economics Working Paper No. 1
31 Pages Posted: 24 Mar 2002
Date Written: March 2002
Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization to economics of the basic complex adaptive systems paradigm. This study outlines the main objectives and defining characteristics of the ACE methodology, and discusses the similarities and distinctions between ACE and artificial life research. Eight ACE research areas are identified, and a number of publications in each area are highlighted for concrete illustration. Open questions and directions for further ACE research are also considered. The study concludes with a discussion of the potential benefits associated with ACE modeling, as well as some potential difficulties.
Keywords: Agent-based computational economics, Artificial life, Learning, Evolution of norms, Networks, Computational laboratories
JEL Classification: B4, C0, D0, E0
Suggested Citation: Suggested Citation
Tesfatsion, Leigh, Agent-Based Computational Economics: Growing Economies from the Bottom Up (March 2002). Iowa State University Economics Working Paper No. 1. Available at SSRN: https://ssrn.com/abstract=305080 or http://dx.doi.org/10.2139/ssrn.305080