@conference {1502896,
	title = {Towards a game theoretic approach for defending against crime diffusion },
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS) [SHORT PAPER]},
	year = {2014},
	abstract = {In urban transportation networks, crime diffuses as criminals travel
through the networks and look for illicit opportunities. It is important to first model this diffusion in order to recommend actions
or patrol policies to control the diffusion of such crime. Previously,
game theory has been used for such patrol policy recommendations,
but these applications of game theory for security have not modeled
the diffusion of crime that comes about due to criminals seeking
opportunities; instead the focus has been on highly strategic adversaries that plan attacks in advance. To overcome this limitation of
previous work, this paper provides the following key contributions.
First, we provide a model of crime diffusion based on a quantal
biased random movement (QBRM) of criminals opportunistically
and repeatedly seeking targets. Within this model, criminals react
to real-time information, rather than strategically planning their attack in advance. Second, we provide a game-theoretic approach to
generate randomized patrol policies for controlling such diffusion.},
	author = {Zhang, Chao and Xin Jiang, Albert and Martin B. Short and Jeffrey P. Brantingham and Tambe, Milind}
}
