000			03453cam a2200241Ii 4500
999			_c33523 _d33523
001			nam a22 7a 4500
020			_a9784431563044
082			_a519.3 TA FU
100	1		_aTanimoto, Jun _914340
245	1	0	_aFundamentals of evolutionary game theory and its applications _cJun Tanimoto
260			_aNew York : _bSpringer, _cc2015.
300			_axiii, 214 p. : _bill. ; _c24 cm.
490			_aEvolutionary economics and social complexity science ; _vVol. 6
505	0		_aChapter 1 Introduction -- Chapter 2 Basic theory of In 2 � 2 games (1 Non-linear dynamical system, 2 2�2 games, 3 Multi-players games) -- Chapter 3 Network reciprocity (1 Five fundamental mechanism to add social viscosity, 2 Substantial mechanism of network reciprocity, 3 Discrete, mixed and continuous strategies bring different pictures of network reciprocity) -- Chapter 4 Traffic flow analysis dovetailed with evolutionary game theory -- Chapter 5 Risk assessment for infectious disease on voluntary vaccination behavior in complex social networks: Another practical application of evolutionary game theory.
520			_aThis book both summarizes the basic theory of evolutionary games and explains their developing applications, giving special attention to the 2-player, 2-strategy game. This game, usually termed a "2-2 game" in the jargon, has been deemed most important because it makes it possible to posit an archetype framework that can be extended to various applications for engineering, the social sciences, and even pure science fields spanning theoretical biology, physics, economics, politics, and information science. The 2-2 game is in fact one of the hottest issues in the field of statistical physics. The book first shows how the fundamental theory of the 2-2 game, based on so-called replicator dynamics, highlights its potential relation with nonlinear dynamical systems. This analytical approach implies that there is a gap between theoretical and reality-based prognoses observed in social systems of humans as well as in those of animal species. The book explains that this perceived gap is the result of an underlying reciprocity mechanism called social viscosity. As a second major point, the book puts a sharp focus on network reciprocity, one of the five fundamental mechanisms for adding social viscosity to a system and one that has been a great concern for study by statistical physicists in the past decade. The book explains how network reciprocity works for emerging cooperation, and readers can clearly understand the existence of substantial mechanics when the term "network reciprocity" is used. In the latter part of the book, readers will find several interesting examples in which evolutionary game theory is applied. One such example is traffic flow analysis. Traffic flow is one of the subjects that fluid dynamics can deal with, although flowing objects do not comprise a pure fluid but, rather, are a set of many particles. Applying the framework of evolutionary games to realistic traffic flows, the book reveals that social dilemma structures lie behind
650		0	_aGame theory _95985
650		7	_aMATHEMATICS / Applied _95595
650		7	_aMATHEMATICS / Probability & Statistics / General _95329
650		7	_aGame theory _95985
830		0	_aEvolutionary economics and social complexity science _914341
856			_uhttps://uowd.box.com/s/tsxocw67f638sosi2wjho6dr0tt84g3j _zLocation Map
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