Statistical physics and computational methods for evolutionary game theory (Record no. 29803)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191119b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319702049
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.1595
Item number JAV
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Javarone, Marco Alberto
245 ## - TITLE STATEMENT
Title Statistical physics and computational methods for evolutionary game theory
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cham
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2018
300 ## - PHYSICAL DESCRIPTION
Extent ix, 74 p.
Other physical details ill.
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount 49.99
Price type code EUR
Unit of pricing 82
490 ## - SERIES STATEMENT
Series statement SpringerBriefs in Complexity
Volume number/sequential designation 2191-5334
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data processing
Topical term or geographic name as entry element Statistical Physics
Topical term or geographic name as entry element Python
Topical term or geographic name as entry element Statistical Physics and Dynamical Systems
Topical term or geographic name as entry element Game Theory
Topical term or geographic name as entry element Data-driven Science, Modeling and Theory Building
Topical term or geographic name as entry element Evolutionary Biology
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2019-11-14 530.1595 JAV 032164 2019-11-19 Books

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