Evolutionary Games in Natural, Social, and Virtual Worlds by Daniel FriedmanEvolutionary Games in Natural, Social, and Virtual Worlds by Daniel Friedman

Evolutionary Games in Natural, Social, and Virtual Worlds

byDaniel Friedman, Barry Sinervo

Hardcover | March 15, 2016

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Over the last 25 years, evolutionary game theory has grown with theoretical contributions from the disciplines of mathematics, economics, computer science and biology. It is now ripe for applications. In this book, Daniel Friedman - an economist trained in mathematics---and Barry Sinervo---abiologist trained in mathematics - offer the first unified account of evolutionary game theory aimed at applied researchers. They show how to use a single set of tools to build useful models for three different worlds: the natural world studied by biologists; the social world studied byanthropologists, economists, political scientists and others; and the virtual world built by computer scientists and engineers. The first six chapters offer an accessible introduction to core concepts of evolutionary game theory. These include fitness, replicator dynamics, sexual dynamics, memes and genes, single and multiple population games, Nash equilibrium and evolutionarily stable states, noisy best response and otheradaptive processes, the Price equation, and cellular automata. The material connects evolutionary game theory with classic population genetic models, and also with classical game theory. Notably, these chapters also show how to estimate payoff and choice parameters from the data. The last eight chapters present exemplary game theory applications. These include a new coevolutionary predator-prey learning model extending rock-paper-scissors; models that use human subject laboratory data to estimate learning dynamics; new approaches to plastic strategies and life cyclestrategies, 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) and the "price of anarchy"; environmental and trade policyanalysis based on evolutionary games; the evolution of cooperation; and speciation. As an aid for instruction, a web site provides downloadable computational tools written in the R programming language, Matlab, Mathematica and Excel.
Daniel Friedman is Distinguished Professor of Economics at the University of California, Santa Cruz. The author of over 100 articles and 5 previous books, his work has appeared in leading academic journals in economics, finance, and psychology. He is founder and director of LEEPS lab which conducts human subject experiments in market a...
Title:Evolutionary Games in Natural, Social, and Virtual WorldsFormat:HardcoverDimensions:432 pages, 9.41 × 6.42 × 1.3 inPublished:March 15, 2016Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199981159

ISBN - 13:9780199981151


Editorial Reviews

"Evolutionary game theory offers a wealth of techniques for studying dynamics and stability in the social sciences, biology, and engineering. Through their clear and insightful exposition of a generous range of applications, Friedman and Sinervo have provided an invaluable road map for anyonelooking to apply the theory on their own." -- Bill Sandholm, Professor of Economics, University of Wisconsin