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: Game Theory for Managing Security in Chemical Industrial Areas
  name:
    name part: Zhang, Laobing.
    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: Reniers, Genserik.
    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: gw
    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, 157 p. 36 illus. online resource.
  abstract: This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.
  table of contents: Introduction -- 1. Protecting Process Industries from Intentional Attacks: the State of the Art -- 2. Intelligent Interaction Modelling: Game Theory -- 3. Single Plant Protection: A Game-Theoretical Model for Improving Chemical Plant Protection -- 4. Single Plant Protection: Playing the Chemical Plant Protection Game with Distribution-free Uncertainties -- 5. Single Plant Protection: Playing the Chemical Plant Protection Game involving Attackers with Bounded Rationality -- 6. Multi-Plant Protection: A Game-Theoretical Model for Improving Chemical Clusters Patrolling -- 7. Case Studies. 8. Conclusions and Recommendations. .
  note: by Laobing Zhang, Genserik Reniers.
  subject:
    topic: Game theory
  subject:
    topic: System safety
  subject:
    topic: Chemical engineering
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Mathematical models
  subject:
    topic: Game Theory
  subject:
    topic: Security Science and Technology
  subject:
    topic: Industrial Chemistry/Chemical Engineering
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  classification: HB144
  classification: 519.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advanced Sciences and Technologies for Security Applications
  identifier: 9783319926186
  identifier: https://doi.org/10.1007/978-3-319-92618-6
  record info:
    record creation date: 180709
    record change date: 20191024181820.0
    record identifier: 978-3-319-92618-6