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Achieving Realistic Levels of Defensive Hedging Based on Non-monotonic and Multi-attribute Terrorist Utility Functions

In: Handbook of Operations Research for Homeland Security

Author

Listed:
  • Vicki Marion Bier

    (University of Wisconsin-Madison)

  • Jaime Marie Bonorato

    (University of Wisconsin-Madison)

  • Chen Wang

    (University of Wisconsin-Madison)

Abstract

This chapter addresses the problem of allocating limited resources to defend a set of targets. When there is uncertainty about which targets the terrorists are most likely to attack, decision makers are likely to insist on some degree of “hedging” (defending targets with only moderate value). The work discussed in this chapter uses game theory to find the optimal strategy for the defender and shows that non-monotonic attacker objective functions do typically yield greater hedging.

Suggested Citation

  • Vicki Marion Bier & Jaime Marie Bonorato & Chen Wang, 2013. "Achieving Realistic Levels of Defensive Hedging Based on Non-monotonic and Multi-attribute Terrorist Utility Functions," International Series in Operations Research & Management Science, in: Jeffrey W. Herrmann (ed.), Handbook of Operations Research for Homeland Security, edition 127, chapter 0, pages 125-139, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-5278-2_6
    DOI: 10.1007/978-1-4614-5278-2_6
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    Cited by:

    1. Chen Wang & Vicki M. Bier, 2013. "Expert Elicitation of Adversary Preferences Using Ordinal Judgments," Operations Research, INFORMS, vol. 61(2), pages 372-385, April.

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