Improved Computational Models of Human Behavior in Security Games

摘要

It becomes critical to address human adversaries' bounded rationality in security games as the real-world deployment of such games spreads. To that end, the key contributions of this paper include: (i) new efficient algorithms for computing optimal strategic solutions using Prospect Theory and Quantal Response Equilibrium; (ii) the most comprehensive experiment to date studying the effectiveness of different models against human subjects for security games. Our new techniques outperform the leading contender for modelling human behavior in security games in experiment with human subjects.