Description

Book Synopsis

Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)

A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against intelligent adversaries. Many examples throughout illustrate the application of the ARA approach to a variety of games and strategic situations.

  • Focuses on the recent subfield of decision analysis, ARA
  • Compares ideas from decision theory and game theory
  • Uses multi-agent influence diagrams (MAIDs) throughout to help readers visualize complex information structures
  • Applies the ARA approach to simultaneous games, auctions, sequential games, and defend-attack games
  • Contains an extended case study based on a real application in railway security, which

    Trade Review

    "This well-written and concise text is an introduction to the field of adversarial risk analysis (ARA), which is a form of decision and risk analysis which incorporates uncertainty and game theory to model strategies of an adversary…There is an appropriate amount of detail throughout the book, making it suitable for a reference text as well as a book which may be read cover to cover and it is both thought provoking and enlightening."
    —Matthew Craven, Plymouth University, Journal of the Royal Statistical Society, Series A, January 2017

    "Here, Banks (Duke Univ.), Rios (IBM), and Insua (ICMAT-CSIC, Spain) identify three categories of uncertainty for the strategist: aleatory uncertainty—nondeterminism of outcomes even after players make choices; epistemic uncertainty—hidden information concerning opponents' preferences, beliefs, and capabilities; and concept uncertainty—hidden information concerning opponents' strategies. Adversarial risk analysis, a new field with roots in modern efforts to defeat terrorism, provides a framework, in principle, to cope with these uncertainties. Solving the models seems generally intractable, but the heart of the book, the first of its kind, offers exemplary case studies. Summing up: Recommended. Lower-division undergraduates and above; informed general audiences."
    D. V. Feldman, University of New Hampshire, Durham, USA, for CHOICE, March 2016



    Table of Contents

    Games and Decisions. Simultaneous Games. Auctions. Sequential Games. Variations on Sequential Defend-Attack Games. A Security Case Study. Other Issues. Solutions to Selected Exercises. References. Index.

  • Adversarial Risk Analysis

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    £82.64

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    RRP £86.99 – you save £4.35 (5%)

    Order before 4pm tomorrow for delivery by Mon 22 Dec 2025.

    A Hardback by David L. Banks, Jesus M. Rios Aliaga, David Rios Insua

    1 in stock


      View other formats and editions of Adversarial Risk Analysis by David L. Banks

      Publisher: Taylor & Francis Inc
      Publication Date: 30/06/2015
      ISBN13: 9781498712392, 978-1498712392
      ISBN10: 1498712398

      Description

      Book Synopsis

      Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)

      A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against intelligent adversaries. Many examples throughout illustrate the application of the ARA approach to a variety of games and strategic situations.

    • Focuses on the recent subfield of decision analysis, ARA
    • Compares ideas from decision theory and game theory
    • Uses multi-agent influence diagrams (MAIDs) throughout to help readers visualize complex information structures
    • Applies the ARA approach to simultaneous games, auctions, sequential games, and defend-attack games
    • Contains an extended case study based on a real application in railway security, which

      Trade Review

      "This well-written and concise text is an introduction to the field of adversarial risk analysis (ARA), which is a form of decision and risk analysis which incorporates uncertainty and game theory to model strategies of an adversary…There is an appropriate amount of detail throughout the book, making it suitable for a reference text as well as a book which may be read cover to cover and it is both thought provoking and enlightening."
      —Matthew Craven, Plymouth University, Journal of the Royal Statistical Society, Series A, January 2017

      "Here, Banks (Duke Univ.), Rios (IBM), and Insua (ICMAT-CSIC, Spain) identify three categories of uncertainty for the strategist: aleatory uncertainty—nondeterminism of outcomes even after players make choices; epistemic uncertainty—hidden information concerning opponents' preferences, beliefs, and capabilities; and concept uncertainty—hidden information concerning opponents' strategies. Adversarial risk analysis, a new field with roots in modern efforts to defeat terrorism, provides a framework, in principle, to cope with these uncertainties. Solving the models seems generally intractable, but the heart of the book, the first of its kind, offers exemplary case studies. Summing up: Recommended. Lower-division undergraduates and above; informed general audiences."
      D. V. Feldman, University of New Hampshire, Durham, USA, for CHOICE, March 2016



      Table of Contents

      Games and Decisions. Simultaneous Games. Auctions. Sequential Games. Variations on Sequential Defend-Attack Games. A Security Case Study. Other Issues. Solutions to Selected Exercises. References. Index.

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