@conference{4dd106ddba7e409a8f4e32cd99ff2e18,
title = "Modeling human adversary decision making in security games: An initial report",
abstract = "Motivated by recent deployments of Stackelberg security games (SSGs), two competing approaches have emerged which either integrate models of human decision making into game-theoretic algorithms or apply robust optimization techniques that avoid adversary modeling. Recently, a robust technique (MATCH) has been shown to significantly outperform the leading modeling-based algorithms (e.g., Quantal Response (QR)) even in the presence of significant amounts of subject data. As a result, the effectiveness of using human behaviors in solving SSGs remains in question. We study this question in this paper.",
keywords = "Bounded Rationality, Game Theory, Human Behavior, Quantal Response, Robust Optimization",
author = "Nguyen, {Thanh H.} and James Pita and Rajiv Maheswaran and Milind Tambe and Amos Azaria and Sarit Kraus",
year = "2013",
language = "אנגלית",
pages = "1297--1298",
note = "12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 ; Conference date: 06-05-2013 Through 10-05-2013",
}