Statistical Physics and Computational Methods for Evolutionary Game Theory

• Main Author: Javarone, Marco Alberto (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Complexity,
• Subjects: Statistical physics.; Game theory.; Social sciences-Data processing.; Social sciences-Computer programs.; Sociophysics.; Econophysics.; Evolutionary 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.

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 coop...

Table of Contents:

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