04496nam 22007695 450 991030055610332120201222143324.03-319-70205-X10.1007/978-3-319-70205-6(CKB)4100000001795133(DE-He213)978-3-319-70205-6(MiAaPQ)EBC5219541(PPN)223956783(EXLCZ)99410000000179513320180111d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierStatistical Physics and Computational Methods for Evolutionary Game Theory /by Marco Alberto Javarone1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (IX, 74 p. 27 illus., 25 illus. in color.) Understanding Complex Systems,2191-53263-319-70204-1 Includes bibliographical references at the end of each chapters.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.Understanding Complex Systems,2191-5326Statistical physicsGame theorySocial sciences—Data processingSocial sciences—Computer programsSociophysicsEconophysicsEvolution (Biology)Python (Computer program language)Statistical Physics and Dynamical Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P19090Game Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Computational Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X34000Data-driven Science, Modeling and Theory Buildinghttps://scigraph.springernature.com/ontologies/product-market-codes/P33030Evolutionary Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L21001Pythonhttps://scigraph.springernature.com/ontologies/product-market-codes/I29080Statistical physics.Game theory.Social sciences—Data processing.Social sciences—Computer programs.Sociophysics.Econophysics.Evolution (Biology)Python (Computer program language)Statistical Physics and Dynamical Systems.Game Theory, Economics, Social and Behav. Sciences.Computational Social Sciences.Data-driven Science, Modeling and Theory Building.Evolutionary Biology.Python.530.13Javarone Marco Albertoauthttp://id.loc.gov/vocabulary/relators/aut1064359MiAaPQMiAaPQMiAaPQBOOK9910300556103321Statistical Physics and Computational Methods for Evolutionary Game Theory2537607UNINA