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Cited by 409

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Evolution and the theory of games

Lewontin, R.C.·1961·Journal of Theoretical Biology

Abstract

Abstract The shortcomings of present population genetic theory are discussed as they pertain to problems of speciation, extinction and the evolution of genetic systems. It is suggested that the modern theory of games may be useful in finding exact answers to problems of evolution not covered by the theory of population genetics. An outline of relevant topics in the theory of games is given. It is suggested that the most pertinent utility measure for a population is its one-generation probability of survival and that a strategy or a mixture of strategies corresponding to a maximin strategy will be found in natural populations. These notions are applied to a population segregating for two alleles with different norms of reaction in different environments. For the model chosen the optimal strategy is found to be homozygosis for different alleles in different populations due either to inbreeding or genetic isolation. A segregating polymorphism in such populations would be a detriment to the species, although the heterozygotes are more constant in fitness.

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Crossref · 10.1016/0022-5193(61)90038-8

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Metadata

Authors
Lewontin, R. C.
Venue
Journal of Theoretical Biology
Publisher
Elsevier BV
Published
1961-07
Volume
1
Issue
3
Pages
382-403
ISSN
0022-5193 (ISSN-L)
OpenAlex
W2082052488
Cited by
409
References
1
FWCI
1.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evolution and the theory of games. https://app.cochat.ai/papers/10.1016/0022-5193(61)90038-8
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Lewontin, R. C. (1961). Evolution and the theory of games. Journal of Theoretical Biology. https://doi.org/10.1016/0022-5193(61)90038-8

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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.