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{ "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": "2016-01-02T00:00:00+06:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26467/galley/16103/download/" } ] }