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Statistical Physics and Computational Methods for Evolutionary Game Theory

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical Physics and Computational Methods for Evolutionary Game Theory/ by Marco Alberto Javarone.
Author:	Javarone, Marco Alberto.
Description:	IX, 74 p. 27 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistical physics. -
Online resource:	https://doi.org/10.1007/978-3-319-70205-6
ISBN:	9783319702056

Statistical Physics and Computational Methods for Evolutionary Game Theory
Javarone, Marco Alberto.

Statistical Physics and Computational Methods for Evolutionary Game Theory[electronic resource] /by Marco Alberto Javarone. - 1st ed. 2018. - IX, 74 p. 27 illus., 25 illus. in color.online resource. - Understanding Complex Systems,2191-5326. - Understanding Complex Systems,.

Chapter 1. Introduction -- Chapter 2. Modeling Complex Systems -- Chapter 3. Evolutionary Games I: Statistical Physics -- Chapter 4 Evolutionary Games II: Applications -- Chapter 5. Conclusions.

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.

ISBN: 9783319702056

Standard No.: 10.1007/978-3-319-70205-6doiSubjects--Topical Terms:

528048
Statistical physics.

LC Class. No.: QC174.7-175.36

Dewey Class. No.: 530.1

Statistical Physics and Computational Methods for Evolutionary Game Theory
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