Statistical Physics and Computational Methods for Evolutionary Game Theory is popular PDF and ePub book, written by Marco Alberto Javarone in 2018-01-11, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Statistical Physics and Computational Methods for Evolutionary Game Theory can be Read Online from any device for your convenience.
Statistical Physics and Computational Methods for Evolutionary Game Theory Book PDF Summary
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.
Detail Book of Statistical Physics and Computational Methods for Evolutionary Game Theory PDF
- Author : Marco Alberto Javarone
- Release : 11 January 2018
- Publisher : Springer
- ISBN : 9783319702056
- Genre : Science
- Total Page : 81 pages
- Language : English
- PDF File Size : 8,9 Mb
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