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
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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Citations
Cites
Institutions, Institutional Change and Economic Performance
North, D. C. (1990) · doi:10.1017/cbo9780511808678 · Cited by 32,691
Olson, M. (1965) · doi:10.4159/9780674041660 · Cited by 14,191
Collective action and the evolution of social norms.
Ostrom, E. (2000) · Journal of Economic Perspectives · doi:10.1257/jep.14.3.137 · Cited by 4,195
Cited by
Collective action and the evolution of social norms.
Ostrom, E. (2000) · Journal of Economic Perspectives · doi:10.1257/jep.14.3.137 · Cited by 4,195
Modelling complex systems of heterogeneous agents to better design sustainability transitions policy
Mercure, J.-F., Pollitt, H., Bassi, A. M., Viñuales, J. E., & Edwards, N. R. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.02.003 · Cited by 204
BDI agents in social simulations: a survey
Adam, C., & Gaudou, B. (2016) · The Knowledge Engineering Review · doi:10.1017/s0269888916000096 · Cited by 165
Axtell, R. (2018) · Handbook of Computational Economics · doi:10.1016/bs.hescom.2018.05.001 · Cited by 13
The Effects of Developer Dynamics on Fitness in an Evolutionary Ecosystem Model of the App Store
Lim, S. L., Bentley, P. J., & Ishikawa, F. (2016) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2015.2494382 · Cited by 13
Metadata
- Authors
- Tesfatsion, L.
- Venue
- Artificial Life
- Publisher
- MIT Press - Journals
- 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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
