@conference {1501630,
	title = {Adversaries Wising Up: Modeling Heterogeneity and Dynamics of Behavior },
	booktitle = {International Conference on Cognitive Modeling(ICCM)},
	year = {2016},
	abstract = {Security is an important concern worldwide. Stackelberg
Security Games have been used successfully in a variety
of security applications, to optimally schedule limited
defense resources by modeling the interaction between
attackers and defenders. Prior research has suggested
that it is possible to classify adversary behavior into
distinct groups of adversaries based on the ways humans
explore their decision alternatives. However, despite the
widespread use of Stackelberg Security Games, there has
been little research on how adversaries adapt to defense
strategies over time (i.e., dynamics of behavior). In this
paper, we advance this work by showing how
adversaries{\textquoteright} behavior changes as they learn the
defenders{\textquoteright} behavior over time. Furthermore, we show
how behavioral game theory models can be modified to
capture learning dynamics using a Bayesian Updating
modeling approach. These models perform similarly to a
cognitive model known as Instance-Based-Learning to
predict learning patterns. },
	author = {Abbasi, Yasaman Dehghani and Sintov, Nicole and Tambe, Milind and Gonzalez, Cleotilde and Morrison, Don and Ben-Asher, Noam}
}
