Adversarial Patrolling in a Uniform
Steve Alpern (),
Paul Chleboun (),
Stamatios Katsikas () and
Kyle Y. Lin ()
Additional contact information
Steve Alpern: Operations Group, Warwick Business School, University of Warwick, Coventry CV4 7AL, United Kingdom
Paul Chleboun: Department of Statistics, University of Warwick, Coventry CV4 7AL, United Kingdom
Stamatios Katsikas: Centre for Complexity Science, University of Warwick, Coventry CV4 7AL, United Kingdom; International Education Institute, University of St. Andrews, St. Andrews KY16 9DJ, United Kingdom
Kyle Y. Lin: Operations Research Department, Naval Postgraduate School, Monterey, California 93943
Operations Research, 2022, vol. 70, issue 1, 129-140
Abstract:
Patrolling games were introduced by Alpern, Morton, and Papadaki in 2011 to model the adversarial problem where a mobile Patroller can thwart an attack at some location only by visiting it during the attack period, which has a prescribed integer duration. In this note, we modify the problem by allowing the Attacker to go to his planned attack location early and observe the presence or the absence there of the Patroller (who wears a uniform). To avoid being too predictable, the Patroller may sometimes remain at her base when she could have been visiting a possible attack location. The Attacker can then choose to delay attacking for some number of periods after the Patroller leaves his planned attack location. As shown here, this extra information for the Attacker can reduce thwarted attacks by as much as a factor of four in some cases. Our main finding is that the attack should begin in the second period the Patroller is away and the Patroller should never visit the same location (other than her base) in consecutive periods.
Keywords: Military and Homeland Security; two-person game; constant-sum game; patrolling game; star network; uniformed patroller; attack duration; delay (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/opre.2021.2152 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:70:y:2022:i:1:p:129-140
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().