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Strategic advice for decision-making under conflict based on observed behaviour

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  • Garcia, Amanda
  • Obeidi, Amer
  • Hipel, Keith W.

Abstract

An improvement in the inverse engineering of preferences approach for the Graph Model for Conflict Resolution is introduced. In addition to providing decision-makers and analysts with up-to-date preference information about opponents, the methodology is now equipped with an Advice function which enriches the decision-making process by providing important information regarding potential moves. Decision-makers who use the methods introduced in this paper are provided with the expected value of each of their possible moves, with the probability of the opponent’s next response, and with the opponent reachable states. This insightful information helps establish an accurate picture of the conflict situation and in so doing, aids stakeholders in making strategic decisions.

Suggested Citation

  • Garcia, Amanda & Obeidi, Amer & Hipel, Keith W., 2018. "Strategic advice for decision-making under conflict based on observed behaviour," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 96-104.
    • Handle: RePEc:eee:apmaco:v:332:y:2018:i:c:p:96-104
    DOI: 10.1016/j.amc.2018.03.031
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    References listed on IDEAS

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    1. Garcia, A. & Hipel, K.W., 2017. "Inverse engineering preferences in simple games," Applied Mathematics and Computation, Elsevier, vol. 311(C), pages 184-194.
    2. Marco Alberto Javarone, 2016. "Statistical physics of the spatial Prisoner’s Dilemma with memory-aware agents," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(2), pages 1-6, February.
    3. Marco Alberto Javarone, 2016. "Statistical physics of the spatial Prisoner’s Dilemma with memory-aware agents," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(2), pages 1-6, February.
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    Cited by:

    1. Xuanpeng Yin & Xuanhua Xu & Xiaohong Chen, 2020. "Risk mechanisms of large group emergency decision-making based on multi-agent simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1009-1034, August.

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