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Evolutionary Games in Natural, Social, and Virtual Worlds (Hardcover)
Loot Price: R2,837
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Evolutionary Games in Natural, Social, and Virtual Worlds (Hardcover)
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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--a biologist 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 by
anthropologists, 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 other adaptive 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 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) and the "price of anarchy "; environmental and trade
policy analysis 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.
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