Overview
- Furnishes a compact but comprehensive explanation of the fundamental theory of 2 × 2 games
- Describes the mechanism behind the network reciprocity of 2 × 2 games
- Provides analyses of traffic flow and epidemiology as applications that merge evolutionary games with engineering topics
Part of the book series: Evolutionary Economics and Social Complexity Science (EESCS, volume 17)
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Table of contents (5 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Evolutionary Games with Sociophysics
Book Subtitle: Analysis of Traffic Flow and Epidemics
Authors: Jun Tanimoto
Series Title: Evolutionary Economics and Social Complexity Science
DOI: https://doi.org/10.1007/978-981-13-2769-8
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-13-2768-1Published: 06 December 2018
eBook ISBN: 978-981-13-2769-8Published: 27 November 2018
Series ISSN: 2198-4204
Series E-ISSN: 2198-4212
Edition Number: 1
Number of Pages: XIV, 221
Number of Illustrations: 26 b/w illustrations, 97 illustrations in colour
Topics: Institutional/Evolutionary Economics, Game Theory, Social Choice/Welfare Economics/Public Choice/Political Economy, Game Theory, Economics, Social and Behav. Sciences, Statistics for Business, Management, Economics, Finance, Insurance, Engineering Economics, Organization, Logistics, Marketing