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Cited by 721

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Agent-Based Computational Economics: Growing Economies From the Bottom Up

Tesfatsion, Leigh·2002·Artificial Life

Abstract

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization of economics of the basic complex adaptive systems paradigm. This study outlines the main objectives and defining characteristics of the ACE methodology and discusses 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 future 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.

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Metadata

Authors
Tesfatsion, L.
Venue
Artificial Life
Published
2002-01
Volume
8
Issue
1
Pages
55-82
ISSN
  • 1064-5462 (ISSN-L)
  • 1530-9185
OpenAlex
W2743210443
Cited by
721
References
3
FWCI
25.09
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.