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Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics, Tanimoto Jun


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Автор: Tanimoto Jun
Название:  Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics
ISBN: 9789811327681
Издательство: Springer
Классификация:






ISBN-10: 9811327688
Обложка/Формат: Hardcover
Страницы: 221
Вес: 0.51 кг.
Дата издания: 18.01.2019
Серия: Evolutionary economics and social complexity science
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 97 illustrations, color; 26 illustrations, black and white; xiv, 221 p. 123 illus., 97 illus. in color.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Подзаголовок: Analysis of traffic flow and epidemics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Recent applications of evolutionary game theory in the merging fields of the mathematical and social sciences are brilliantly portrayed in this book, which highlights social physics and shows how the approach can help to quantitatively model complex human–environmental–social systems.First, readers are introduced to the fundamentals of evolutionary game theory. The two-player, two-strategy game, or the 2 ? 2 game, is presented as an archetype to help understand the difficulty of cooperating for survival against defection in common social contexts. Subsequently, the book explains the theoretical background of the multi-player, two-strategy game, which may be more widely applicable than the 2 ? 2 game for social dilemmas. The latest applications of 2 ? 2 games are also discussed to explore how integrated reciprocity mechanisms can solve social dilemmas.In turn, the book describes two practical areas in which evolutionary game theory has been applied. The first concerns traffic flow analysis. In conventional interpretations, traffic flow can be understood by means of fluid dynamics, in which the flow of vehicles is evaluated as a continuum body. Such a simple idea, however, does not work well in reality, particularly if a driver’s decision-making process is considered. Various dilemmas involve complex structures that depend primarily on traffic density, a revelation that should help establish a practical solution for reducing traffic congestion.Second, the book provides keen insights into how powerful evolutionary game theory can be in the context of epidemiology. Both approaches, quasi-analytical and multi-agent simulation, can clarify how an infectious disease such as seasonal influenza spreads across a complex social network, which is significantly affected by the public attitude toward vaccination. A methodology is proposed for the optimum design of a public vaccination policy incorporating subsidies to efficiently increase vaccination coverage while minimizing the social cost.

Дополнительное описание:
1.Social Physics Approach to Model and Analyze Human – Environmental Social System.- 1.1 Human – Environmental Social System.- 1.2 Evolutionary Game and Social Physics.- 1.3 Structure of This Book.- 2.Evolutionary Game Theory.- 2.1 2-Player & 2-Strat




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