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Téléchargez le livre : Statistical Physics and Computational Methods for Evolutionary Game Theory

Statistical Physics and Computational Methods for Evolutionary Game Theory

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Éditeur :

Springer


Collection :

SpringerBriefs in Complexity

Paru le : 2018-01-11

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Description
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.
Pages
74 pages
Collection
SpringerBriefs in Complexity
Parution
2018-01-11
Marque
Springer
EAN papier
9783319702049
EAN PDF
9783319702056
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2171 Ko
Prix
68,56 €

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