Security games with contagion: handling asymmetric information

Authors:
Jason Tsai;Yundi Qian;Yevgeniy Vorobeychik;Christopher Kiekintveld;Milind Tambe
Affiliations:
University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA;University of Southern California, Livermore, CA, USA;University of Texas at El Paso, El Paso, TX, USA;University of Southern California, Los Angeles, CA, USA
Venue:
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Year:
2013

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Abstract

Counterinsurgency, which is the effort to mitigate support for an opposing organization, is one such domain that has been studied recently and past work has modeled the problem as an influence blocking maximization that features an influencer and a mitigator. While past work has introduced scalable heuristic techniques for generating effective strategies using a double oracle algorithm, it has not addressed the issue of uncertainty and asymmetric information, which is the topic of this paper.