rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Evolutionary Games with Sociophysics
    sub title: Analysis of Traffic Flow and Epidemics
  name:
    name part: Tanimoto, Jun.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 221 p. 123 illus., 97 illus. in color. online resource.
  abstract: 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 …
  table of contents: 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.
  note: by Jun Tanimoto.
  subject:
    topic: Evolutionary economics
  subject:
    topic: Game theory
  subject:
    topic: Welfare economics
  subject:
    topic: Statistics
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Institutional/Evolutionary Economics
  subject:
    topic: Game Theory
  subject:
    topic: Social Choice/Welfare Economics/Public Choice/Political Economy
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  classification: HB97.3
  classification: 330
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Evolutionary Economics and Social Complexity Science, 17
  identifier: 9789811327698
  identifier: https://doi.org/10.1007/978-981-13-2769-8
  record info:
    record creation date: 181127
    record change date: 20191220125831.0
    record identifier: 978-981-13-2769-8