Statistical Physics And Computational Methods For Evolutionary Game Theory (springerbriefs In Complexity)
by Marco Alberto Javarone /
2018 / English / PDF
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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.
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.
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.
