Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics (Evolutionary Economics and Social Complexity Science, 17). Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2018
Serie: Libro 20 de 32 - Evolutionary Economics and Social Complexity Science
- Tapa dura
- Nuevo

Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Vendedor de IberLibro desde 25 de marzo de 2015
Condición: Nuevo
EUR 159,47
Descripción del artículo del vendedor
In English.
N° de ref. del artículo ria9789811327681_new
- Título
- Evolutionary Games with Sociophysics: Analysis of Traffic Flow and Epidemics (Evolutionary Economics and Social Complexity Science, 17)
- Autor
- Tanimoto, Jun
- Editorial
- Springer
- Año de publicación
- 2018
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 9811327688
- ISBN 13
- 9789811327681
- Peso del artículo
- 600 gramos
- Serie
- Libro 20 de 32: Evolutionary Economics and Social Complexity Science
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.
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