The DOI matches its Crossref record.
Learning, Mutation, and Long Run Equilibria in Games
Abstract
An evolutionary model with a finite number of players and with stochastic mutations is analyzed. The expansion and contraction of strategies is linked to their current relative success, but mutuation, perturbing the system from its deterministic evolution, are present as well. The focus is on the long run implications of ongoing mutations, which drastically reduce the set of equilibria. For 2 by 2 symmetric games with two symmetric strict Nash equilibria the risk dominant equilibrium is selected. In particular, if both strategies have equal security levels, the Pareto dominant Nash equilibrium is selected. In particular, if both strategies have equal security levels, the Pareto dominant Nash equilibrium is selected, even though there is another strict Nash equilibrium. Copyright 1993 by The Econometric Society.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Young, H. P. (1993) · Econometrica · doi:10.2307/2951778 · Cited by 2,399
The Stag Hunt and the Evolution of Social Structure
Skyrms, B. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9781139165228 · Cited by 1,524
Recent Evolutionary Theorizing About Economic Change
Nelson, R. A. (2000) · Theorien der Organisation · doi:10.1007/978-3-322-80840-0_5 · Cited by 1,307
Indirect reciprocity can stabilize cooperation without the second-order free rider problem
Panchanathan, K., & Boyd, R. (2004) · Nature · doi:10.1038/nature02978 · Cited by 865
Experimental evidence for tipping points in social convention
Centola, D., Becker, J., Brackbill, D., & Baronchelli, A. (2018) · Science · doi:10.1126/science.aas8827 · Cited by 750
Metadata
- Authors
- Kandori, M., Mailath, G. J., & Rob, R.
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1993-01
- Volume
- 61
- Issue
- 1
- Pages
- 29
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W1960974220
- Cited by
- 2,044
- References
- 0
- FWCI
- 159.67
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Learning, Mutation, and Long Run Equilibria in Games. https://app.cochat.ai/papers/10.2307/2951777
- The paper
- Kandori, M., Mailath, G. J., & Rob, R. (1993). Learning, Mutation, and Long Run Equilibria in Games. Econometrica. https://doi.org/10.2307/2951777
Data sources
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.