{"pk":26467,"title":"Know Your Enemy: Applying Cognitive Modeling in Security Domain","subtitle":null,"abstract":"Game Theory -based decision aids have been successfully em-ployed in real-world policing, anti-terrorism, and wildlife con-servation efforts (Tambe, Jiang, An, & Jain, 2013). Cognitivemodeling, in concert with model tracing and dynamic parame-ter fitting techniques, may be used to improve the performanceof such decision aids by predicting individual attacker behav-ior in repeated security games. We present three simulations,showing that (1) cognitive modeling can aid in greatly improv-ing decision-aid performance in the security domain; and (2)despite the fact that individual attackers will differ in initialpreferences and in how they learn, model parameters can beadjusted dynamically to make useful predictions for each at-tacker.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"cognitive modeling; game theory; behavioralgame theory; strategy selection; agent simulation; model trac-ing"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/4h9395m9","frozenauthors":[{"first_name":"Vladislav","middle_name":"D.","last_name":"Veksler","name_suffix":"","institution":"U.S. Army Research Laboratory","department":""},{"first_name":"Norbou","middle_name":"","last_name":"Buchler","name_suffix":"","institution":"U.S. Army Research Laboratory","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26467/galley/16103/download/"}]}