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Asymmetric Evolutionary Games
Evolutionary game theory is a powerful framework for studying evolution in populations of interacting individuals. A common assumption in evolutionary game theory is that interactions are symmetric, which means that the players are distinguished by only their strategies. In nature, however, the micr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550251/ https://www.ncbi.nlm.nih.gov/pubmed/26308326 http://dx.doi.org/10.1371/journal.pcbi.1004349 |
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author | McAvoy, Alex Hauert, Christoph |
author_facet | McAvoy, Alex Hauert, Christoph |
author_sort | McAvoy, Alex |
collection | PubMed |
description | Evolutionary game theory is a powerful framework for studying evolution in populations of interacting individuals. A common assumption in evolutionary game theory is that interactions are symmetric, which means that the players are distinguished by only their strategies. In nature, however, the microscopic interactions between players are nearly always asymmetric due to environmental effects, differing baseline characteristics, and other possible sources of heterogeneity. To model these phenomena, we introduce into evolutionary game theory two broad classes of asymmetric interactions: ecological and genotypic. Ecological asymmetry results from variation in the environments of the players, while genotypic asymmetry is a consequence of the players having differing baseline genotypes. We develop a theory of these forms of asymmetry for games in structured populations and use the classical social dilemmas, the Prisoner’s Dilemma and the Snowdrift Game, for illustrations. Interestingly, asymmetric games reveal essential differences between models of genetic evolution based on reproduction and models of cultural evolution based on imitation that are not apparent in symmetric games. |
format | Online Article Text |
id | pubmed-4550251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45502512015-09-01 Asymmetric Evolutionary Games McAvoy, Alex Hauert, Christoph PLoS Comput Biol Research Article Evolutionary game theory is a powerful framework for studying evolution in populations of interacting individuals. A common assumption in evolutionary game theory is that interactions are symmetric, which means that the players are distinguished by only their strategies. In nature, however, the microscopic interactions between players are nearly always asymmetric due to environmental effects, differing baseline characteristics, and other possible sources of heterogeneity. To model these phenomena, we introduce into evolutionary game theory two broad classes of asymmetric interactions: ecological and genotypic. Ecological asymmetry results from variation in the environments of the players, while genotypic asymmetry is a consequence of the players having differing baseline genotypes. We develop a theory of these forms of asymmetry for games in structured populations and use the classical social dilemmas, the Prisoner’s Dilemma and the Snowdrift Game, for illustrations. Interestingly, asymmetric games reveal essential differences between models of genetic evolution based on reproduction and models of cultural evolution based on imitation that are not apparent in symmetric games. Public Library of Science 2015-08-26 /pmc/articles/PMC4550251/ /pubmed/26308326 http://dx.doi.org/10.1371/journal.pcbi.1004349 Text en © 2015 McAvoy, Hauert http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article McAvoy, Alex Hauert, Christoph Asymmetric Evolutionary Games |
title | Asymmetric Evolutionary Games |
title_full | Asymmetric Evolutionary Games |
title_fullStr | Asymmetric Evolutionary Games |
title_full_unstemmed | Asymmetric Evolutionary Games |
title_short | Asymmetric Evolutionary Games |
title_sort | asymmetric evolutionary games |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550251/ https://www.ncbi.nlm.nih.gov/pubmed/26308326 http://dx.doi.org/10.1371/journal.pcbi.1004349 |
work_keys_str_mv | AT mcavoyalex asymmetricevolutionarygames AT hauertchristoph asymmetricevolutionarygames |