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Evolution and the Theory of Games
Abstract
In this 1982 book, the theory of games, first developed to analyse economic behaviour, is modified so that it can be applied to evolving populations. John Maynard Smith's concept of an evolutionarily stable strategy is relevant whenever the best thing for an animal or plant to do depends on what others are doing. The theory leads to testable predictions about the evolution of behaviour, of sex and genetic systems, and of growth and life history patterns. This book contains a full account of the theory, and of the data relevant to it. The account is aimed at senior undergraduate and graduate students, teachers and research workers in animal behaviour, population genetics and evolutionary biology. The book will also be of interest to mathematicians and game theorists; the mathematics has been largely confined to appendixes so that the main text may be easily followed by biologists.
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Citations
Cited by
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Nowak, M. A. (2006) · Science · doi:10.1126/science.1133755 · Cited by 5,894
Sex differences in human mate preferences: Evolutionary hypotheses tested in 37 cultures
Buss, D. M. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00023992 · Cited by 4,484
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
Behavioral syndromes: an ecological and evolutionary overview
Sih, A., Bell, A., & Johnson, J. C. (2004) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2004.04.009 · Cited by 2,861
Evolution of indirect reciprocity by image scoring
Nowak, M. A., & Sigmund, K. (1998) · Nature · doi:10.1038/31225 · Cited by 2,700
Metadata
- Authors
- Smith, J. M.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1982-10-21
- OpenAlex
- W1415442047
- Cited by
- 6,922
- References
- 0
- FWCI
- 173.19
- Type
- book
- 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.
