Statistical physics and computational methods for evolutionary game theory
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Marco Alberto Javarone.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland
Name of Publisher, Distributor, etc.
: Springer
Date of Publication, Distribution, etc.
, 2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
ix, 70 pages.
Other Physical Details
: ill.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
SUMMARY OR ABSTRACT
Text of Note
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.
TOPICAL NAME USED AS SUBJECT
Entry Element
Physics.
Entry Element
Evolution (Biology).
Entry Element
Nonlinear theories.
Entry Element
Game theory.
UNCONTROLLED SUBJECT TERMS
Subject Term
Physics, Evolution, Biology, Game theory, Nonlinear theories.