@conference {1506285,
	title = {Game Theory and Human Behavior: Challenges in Security and Sustainability },
	booktitle = {Algorithmic Decision Theory (ADT)	},
	year = {2011},
	abstract = {Security and sustainability are two critical global challenges
that involve the interaction of many intelligent actors. Game theory provides a sound mathematical framework to model such interactions, and
computational game theory in particular has a promising role to play in
helping to address key aspects of these challenges. Indeed, in the domain
of security, we have already taken some encouraging steps by successfully
applying game-theoretic algorithms to real-world security problems: our
algorithms are in use by agencies such as the US coast guard, the Federal
Air Marshals Service, the LAX police and the Transportation Security
Administration. While these applications of game-theoretic algorithms
have advanced the state of the art, this paper lays out some key challenges as we continue to expand the use of these algorithms in real-world
domains. One such challenge in particular is that classical game theory
makes a set of assumptions of the players, which may not be consistent with real-world scenarios, especially when humans are involved. To
actually model human behavior within game-theoretic framework, it is
important to address the new challenges that arise due to the presence of
human players: (i) human bounded rationality; (ii) limited observations
and imperfect strategy execution; (iii) large action spaces. We present
initial solutions to these challenges in context of security games. For sustainability, we lay out our initial efforts and plans, and key challenges
related to human behavior in the loop.},
	author = {Yang, Rong and Tambe, Milind and Jain, Manish and Kwak, Jun-young and Pita, James and Yin, Zhengyu}
}
