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Analysis of algorithms / Artificial intelligence / Game theory / Markov models / Tambe / Adversary model / Stackelberg competition / Markov decision process / Uncertainty / Statistics / Science / Markov processes


Journal of Artificial Intelligence Research367 Submitted 1/14; published 6/14 Game-Theoretic Security Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System
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Document Date: 2014-06-19 15:08:32


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File Size: 1,14 MB

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City

Los Angeles / London / Boston / New York / Ramat Gan / /

Company

Brown / Booz Allen / /

Currency

USD / /

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Facility

Bar Ilan University / University of Southern California / /

IndustryTerm

real-world applications / expected utilities / transportation domains / multi-agent systems / transportation systems / patrol algorithm / game-theoretic solution / decision-support systems / proof-of-payment transit systems / public transit systems / transportation system / transit systems / separable utilities / patrolling a transportation system / /

Organization

Bar Ilan University / AI Access Foundation / Los Angeles Sheriffs Department / University of Southern California / Los Angeles / /

Person

Albert Xin Jiang Zhengyu Yin Chao Zhang / Bayesian Stackelberg / Chao Zhang Milind Tambe / Ai / John P. Sullivan / /

Position

random scheduler / Los Angeles sheriff / model each individual defender unit / jpsulliv@lasd.org Los Angeles County Sheriff / game model for security patrolling with execution uncertainty / formal game-theoretic model for patrolling with dynamic execution uncertainty / General / officer / game model / player / /

Product

Ri / /

ProvinceOrState

Alberta / California / /

PublishedMedium

Journal of Artificial Intelligence Research / /

Region

Southern California / /

Technology

SSG algorithms / previous SSG algorithms / artificial intelligence / smartphones / simulation / patrol algorithm / /

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