Evolutionary Games in Natural, Social, and Virtual Worlds
Abstract This book’s goal is to introduce evolutionary game theory to applied researchers in a manner accessible to graduate students and advanced undergraduates in biology, economics, engineering, and allied disciplines. Chapters 1 through 6 present the basic ideas and techniques of this field, inc...
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croxfordunivpr:10.1093/acprof:oso/9780199981151.001.0001 2024-06-09T07:45:42+00:00 Evolutionary Games in Natural, Social, and Virtual Worlds Friedman, Daniel Sinervo, Barry 2016 http://dx.doi.org/10.1093/acprof:oso/9780199981151.001.0001 unknown Oxford University PressNew York ISBN 0199981159 9780199981151 9780190466657 edited-book 2016 croxfordunivpr https://doi.org/10.1093/acprof:oso/9780199981151.001.0001 2024-05-10T13:14:01Z Abstract This book’s goal is to introduce evolutionary game theory to applied researchers in a manner accessible to graduate students and advanced undergraduates in biology, economics, engineering, and allied disciplines. Chapters 1 through 6 present the basic ideas and techniques of this field, including fitness, replicator dynamics, memes and genes, single- and multiple-population games, Nash equilibrium and evolutionarily stable states, noisy best response and other adaptive processes, the Price equation, cellular automata, and estimating payoff and choice parameters from the data. Chapters 7 through 14 collect exemplary applications from many fields, providing templates for applied work everywhere. These include a new co-evolutionary predator-prey learning model extending the rock-paper-scissors game; using human subject laboratory data to estimate models of learning in games; new approaches to plastic strategies and life cycle strategies, including estimates for male elephant seals; a comparison of machine-learning techniques for preserving diversity to those seen in the natural world; analyses of congestion in traffic networks (either Internet or highways) Book Elephant Seals Oxford University Press Nash ENVELOPE(-62.350,-62.350,-74.233,-74.233) |
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Oxford University Press |
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description |
Abstract This book’s goal is to introduce evolutionary game theory to applied researchers in a manner accessible to graduate students and advanced undergraduates in biology, economics, engineering, and allied disciplines. Chapters 1 through 6 present the basic ideas and techniques of this field, including fitness, replicator dynamics, memes and genes, single- and multiple-population games, Nash equilibrium and evolutionarily stable states, noisy best response and other adaptive processes, the Price equation, cellular automata, and estimating payoff and choice parameters from the data. Chapters 7 through 14 collect exemplary applications from many fields, providing templates for applied work everywhere. These include a new co-evolutionary predator-prey learning model extending the rock-paper-scissors game; using human subject laboratory data to estimate models of learning in games; new approaches to plastic strategies and life cycle strategies, including estimates for male elephant seals; a comparison of machine-learning techniques for preserving diversity to those seen in the natural world; analyses of congestion in traffic networks (either Internet or highways) |
format |
Book |
author |
Friedman, Daniel Sinervo, Barry |
spellingShingle |
Friedman, Daniel Sinervo, Barry Evolutionary Games in Natural, Social, and Virtual Worlds |
author_facet |
Friedman, Daniel Sinervo, Barry |
author_sort |
Friedman, Daniel |
title |
Evolutionary Games in Natural, Social, and Virtual Worlds |
title_short |
Evolutionary Games in Natural, Social, and Virtual Worlds |
title_full |
Evolutionary Games in Natural, Social, and Virtual Worlds |
title_fullStr |
Evolutionary Games in Natural, Social, and Virtual Worlds |
title_full_unstemmed |
Evolutionary Games in Natural, Social, and Virtual Worlds |
title_sort |
evolutionary games in natural, social, and virtual worlds |
publisher |
Oxford University PressNew York |
publishDate |
2016 |
url |
http://dx.doi.org/10.1093/acprof:oso/9780199981151.001.0001 |
long_lat |
ENVELOPE(-62.350,-62.350,-74.233,-74.233) |
geographic |
Nash |
geographic_facet |
Nash |
genre |
Elephant Seals |
genre_facet |
Elephant Seals |
op_source |
ISBN 0199981159 9780199981151 9780190466657 |
op_doi |
https://doi.org/10.1093/acprof:oso/9780199981151.001.0001 |
_version_ |
1801375183691317248 |