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OverviewThis book is devoted to the development of efficient algorithms for enhancing security of Multiagent systems deployed in real world. In particular, we present here algorithms developed using the Decision/Game Theoretic frameworks. Our algorithms can be classified into two kinds: First, when the agent has no model of its adversaries, the key idea is to randomize the policy of the agent to minimize the information given out. To that end, we present policy randomization algorithms developed using the MDP/Dec-POMDP frameworks. Second, when the agent has partial model of its adversaries, we model the security domain as a Bayesian Stackelberg game. Given the NP-hardness result to find the optimal solution, we provide efficient MILP based approaches to obtain significant speedups. The technology presented here has initiated and became heart of the ARMOR (Assistant for Randomized Monitoring over Routes) security scheduler, currently deployed at the Los Angeles International Airport (LAX) since August-07. Given the general purpose nature of our algorithms, they can potentially be used for enhancing security at many other major locations such as airports, dams, museums, stadiums and others. Full Product DetailsAuthor: Praveen Paruchuri , Jonathan P Pearce , Milind Tambe (University of Southern California)Publisher: VDM Verlag Dr. Mueller E.K. Imprint: VDM Verlag Dr. Mueller E.K. Dimensions: Width: 15.20cm , Height: 0.60cm , Length: 22.90cm Weight: 0.172kg ISBN: 9783639019254ISBN 10: 3639019253 Pages: 120 Publication Date: 23 June 2008 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |