Computing Game-Theoretic Solutions and Applications to Security
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Conitzer, V
Published in: Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012
January 1, 2012
The multiagent systems community has adopted game theory as a framework for the design of systems of multiple self-interested agents. For this to be effective, efficient algorithms must be designed to compute the solutions that game theory prescribes. In this paper, I summarize some of the state of the art on this topic, focusing particularly on how this line of work has contributed to several highly visible deployed security applications, developed at the University of Southern California.
Duke Scholars
Published In
Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012
DOI
Publication Date
January 1, 2012
Start / End Page
2106 / 2112
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Conitzer, V. (2012). Computing Game-Theoretic Solutions and Applications to Security. In Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012 (pp. 2106–2112). https://doi.org/10.1609/aaai.v26i1.8446
Conitzer, V. “Computing Game-Theoretic Solutions and Applications to Security.” In Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012, 2106–12, 2012. https://doi.org/10.1609/aaai.v26i1.8446.
Conitzer V. Computing Game-Theoretic Solutions and Applications to Security. In: Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012. 2012. p. 2106–12.
Conitzer, V. “Computing Game-Theoretic Solutions and Applications to Security.” Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012, 2012, pp. 2106–12. Scopus, doi:10.1609/aaai.v26i1.8446.
Conitzer V. Computing Game-Theoretic Solutions and Applications to Security. Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012. 2012. p. 2106–2112.
Published In
Proceedings of the 26th Aaai Conference on Artificial Intelligence Aaai 2012
DOI
Publication Date
January 1, 2012
Start / End Page
2106 / 2112