Statistical Physics and Computational Methods for Evolutionary Game Theory (Paperback, 1st ed. 2018)

This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems.Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). This book will appeal to students and researchers in this burgeoning field of complex systems.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Complexity
Release date:	2018
First published:	2018
Authors:	Marco Alberto Javarone
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	74
Edition:	1st ed. 2018
ISBN-13:	978-3-319-70204-9
Categories:	Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
LSN:	3-319-70204-1
Barcode:	9783319702049

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