Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned

· Cambridge University Press
Ebook
335
Pages
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About this ebook

Global threats of terrorism, drug-smuggling and other crimes have led to a significant increase in research on game theory for security. Game theory provides a sound mathematical approach to deploy limited security resources to maximize their effectiveness. A typical approach is to randomize security schedules to avoid predictability, with the randomization using artificial intelligence techniques to take into account the importance of different targets and potential adversary reactions. This book distills the forefront of this research to provide the first and only study of long-term deployed applications of game theory for security for key organizations such as the Los Angeles International Airport police and the US Federal Air Marshals Service. The author and his research group draw from their extensive experience working with security officials to intelligently allocate limited security resources to protect targets, outlining the applications of these algorithms in research and the real world.

About the author

Milind Tambe is a Professor of Computer Science and Industrial and Systems Engineering at the University of Southern California (USC). His research is in the area of Artificial Intelligence, specifically agent-based and multi-agent systems. He is a Fellow of the Association for Advancement of Artificial Intelligence and recipient of the Association for Computing Machinery's Autonomous Agents Research Award. He is also the recipient of the Christopher Columbus Fellowship Foundation Homeland Security Award, a special commendation given by the Los Angeles International Airport's police from the city of Los Angeles, the USC Viterbi School of Engineering's use-inspired research award, an Okawa Foundation faculty research award, the RoboCup scientific challenge award, the USC Steven B. Sample Teaching and Mentoring award and the ACM recognition of service award.

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