Evolutionary games with sociophysics : analysis of traffic flow and epidemics
著者
書誌事項
Evolutionary games with sociophysics : analysis of traffic flow and epidemics
(Evolutionary economics and social complexity science, v. 17)
Springer, c2018
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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 x 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 x 2 game for social dilemmas. The latest applications of 2 x 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.
目次
- 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-Strategy Games.- 2.2 Multi-player Games.- 2.3 Social Dilemma Alleviated by Integrated Reciprocity Mechanisms.- 3.Social Dilemma Analysis Hidden behind a Traffic Flow.- 3.1 Traffic Flow analysis
- Microscopic and Macroscopic Approaches.- 3.2 Social Dilemma in Rote Selection Problem.- 3.3 Social Dilemma Triggered by Vehicle's Lateral Action
- Lane-changing.- 3.4 Social Dilemma in 2-Body Problem of Action and Reaction in a Lane-changing.- 4.Social Dilemma Analysis Observed in Infectious Disease.- 4.1 Classical Model of Macroscopic Epidemiology Model.- 4.2 Microscopic Model Considering Vaccination and Complex Social Network.- 4.3 Evaluation of Imperfect Vaccination and Intermediate Self-protection Measures.- 4.4 Optimum Design of Subsidy Policy for Vaccination.
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