Statistical Physics and Computational Methods for Evolutionary Game Theory

  • Marco Alberto┬áJavarone

Part of the SpringerBriefs in Complexity book series (BRIEFSCOMPLEXITY)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Marco Alberto Javarone
    Pages 1-13
  3. Marco Alberto Javarone
    Pages 15-31
  4. Marco Alberto Javarone
    Pages 33-50
  5. Marco Alberto Javarone
    Pages 51-70
  6. Marco Alberto Javarone
    Pages 71-74

About this book


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.


Evolutionary Game Theory (EGT) population dynamics Nash equilibrium role of conformism biological and social dynamics

Authors and affiliations

  • Marco Alberto┬áJavarone
    • 1
  1. 1.School of Computer ScienceUniversity of HertfordshireHatfieldUnited Kingdom

Bibliographic information