@conference {1508533,
	title = {Deployed ARMOR protection: The application of a game theoretic model for security at the Los Angeles International Airport },
	booktitle = {International Joint Conference on Autonomous Agents and Multiagent Systems, 2008},
	year = {2008},
	abstract = {Security at major locations of economic or political importance is
a key concern around the world, particularly given the threat of
terrorism. Limited security resources prevent full security coverage at all times, which allows adversaries to observe and exploit
patterns in selective patrolling or monitoring, e.g. they can plan
an attack avoiding existing patrols. Hence, randomized patrolling
or monitoring is important, but randomization must provide distinct weights to different actions based on their complex costs and
benefits. To this end, this paper describes a promising transition
of the latest in multi-agent algorithms {\textendash} in fact, an algorithm that
represents a culmination of research presented at AAMAS {\textendash} into a
deployed application. In particular, it describes a software assistant
agent called ARMOR (Assistant for Randomized Monitoring over
Routes) that casts this patrolling/monitoring problem as a Bayesian
Stackelberg game, allowing the agent to appropriately weigh the
different actions in randomization, as well as uncertainty over adversary types. ARMOR combines three key features: (i) It uses
the fastest known solver for Bayesian Stackelberg games called
DOBSS, where the dominant mixed strategies enable randomization; (ii) Its mixed-initiative based interface allows users to occasionally adjust or override the automated schedule based on their
local constraints; (iii) It alerts the users if mixed-initiative overrides
appear to degrade the overall desired randomization. ARMOR has
been successfully deployed since August 2007 at the Los Angeles
International Airport (LAX) to randomize checkpoints on the roadways entering the airport and canine patrol routes within the airport
terminals. This paper examines the information, design choices,
challenges, and evaluation that went into designing ARMOR.},
	author = {J. Pita and Jain, Manish and Craig Western and Christopher Portway and Tambe, Milind and Ordonez, Fernando and Kraus, Sarit and Praveen Paruchuri}
}
