@conference {1502497,
	title = {Human Adversaries in Opportunistic Crime Security Games: Evaluating Competing Bounded Rationality Models },
	booktitle = {Conference on Advances in Cognitive Systems},
	year = {2015},
	abstract = {There are a growing number of automated decision aids based on game-theoretic algorithms in daily use
by security agencies to assist in allocating or scheduling their limited security resources. These
applications of game theory, based on the {\textquotedblleft}security games{\textquotedblright} paradigm, are leading to fundamental
research challenges: one major challenge is modeling human bounded rationality. More specifically, the
security agency, assisted with an automated decision aid, is assumed to act with perfect rationality against
a human adversary; it is important to investigate the bounded rationality of these human adversaries to
improve effectiveness of security resource allocation. This paper for the first time provides an empirical
investigation of adversary bounded rationality in opportunistic crime settings, where modeling bounded
rationality is particularly crucial. We conduct extensive human subject experiments, comparing ten
different bounded rationality models, and illustrate that: (a) while previous research proposed the use of
the stochastic choice {\textquotedblleft}quantal response{\textquotedblright} model of human adversary, this model is significantly
outperformed by more advanced models of {\textquotedblleft}subjective utility quantal response{\textquotedblright}; (b) Combinations of
the well-known prospect theory model with these advanced models lead to an even better performance
in modeling human adversary behavior; (c) while it is important to model the non-linear human weighing
of probability, as advocated by prospect theory, our findings are the exact opposite of prospect theory in
terms of how humans are seen to weigh this non-linear probability.},
	author = {Abbasi, Yasaman Dehghani and Short, Martin and Sinha, Arunesh and Sintov, Nicole and Zhang, Chao and Tambe, Milind}
}
