Mixed-initiative optimization in security games: A preliminary report

AAAI Spring Symposium - Technical Report

Volumn SS-11-05, Issue , 2011, Pages 8-11

  An, Bo ^a   Jain, Manish ^a   Tambe, Milind ^a   Kiekintveld, Christopher ^b  

^a University of Southern California   (United States)

^b UNIVERSITY OF TEXAS AT EL PASO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEMS; SOFTWARE AGENTS;

BOUNDED RATIONALITY; DECISION SUPPORT TOOLS; FEDERAL AIR MARSHALS SERVICES; HUMAN AGENT INTERACTIONS; LOS ANGELES INTERNATIONAL AIRPORTS; OPTIMAL STRATEGIES; SOFTWARE ASSISTANTS; TRANSPORTATION SECURITY ADMINISTRATION;

AIRPORT SECURITY;

EID: 80051534209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Ferguson, G., and Allen, J. 2007. Mixed-initiative systems for collaborative problem solving. AI Magazine 28(2):23-32.
2. Horvitz, E. 1999. Principles of mixed-initiative user interfaces. In Proceedings of the SIGCHI conference on Human factors in computing systems, 159-166.
3. Jain, M.; Kardes, E.; Kiekintveld, C.; Ordonez, F.; and Tambe, M. 2010a. Security games with arbitrary schedules: A branch and price approach. In AAAI.
4. Jain, M.; Tsai, J.; Pita, J.; Kiekintveld, C.; Rathi, S.; Tambe, M.; and Ordonez, F. 2010b. Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshals Service. Interfaces 40:267-290.
5. Kiekintveld, C.; Jain, M.; Tsai, J.; Pita, J.; Tambe, M.; and Ordonez, F. 2009. Computing optimal randomized resource allocations for massive security games. In AAMAS, 689-696.
6. Myers, K.; Berry, P.; Blythe, J.; Conley, K.; Gervasio, M.; McGuinness, D. L.; Morley, D.; Pfeffer, A.; Pollack, M.; and Tambe, M. 2007. An intelligent personal assistant for task and time management. AI Magazine 28(2):47-61. (Pubitemid 47046402)
7. Paruchuri, P.; Pearce, J. P.; Tambe, M.; Ordonez, F.; and Kraus, S. 2007. An efficient heuristic approach for security against multiple adversaries. In AAMAS.
8. Pita, J.; Jain, M.; Western, C.; Portway, C.; Tambe, M.; Ordonez, F.; Kraus, S.; and Parachuri, P. 2008. Deployed ARMOR protection: The application of a game-theoretic model for security at the Los Angeles International Airport. In AAMAS-08 (Industry Track).
9. Rich, C., and Sidner, C. L. 2007. Diamondhelp: A generic collaborative task guidance system. AI Magazine 28(2):33-46.
10. Scerri, P.; Pynadath, D. V.; and Tambe, M. 2002. Towards adjustable autonomy for the real world. Journal of Artificial Intelligence Research 17(1): 171-228.
11. Schurr, N.; Patil, P.; Pighin, F.; and Tambe, M. 2006. Using multiagent teams to improve the training of incident commanders. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, 1490-1497. (Pubitemid 46609690)
12. Schurr, N.; Marecki, J.; and Tambe, M. 2009. Improving adjustable autonomy strategies for time-critical domains. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems, 353-360.
13. Tecuci, G.; Boicu, M.; and Cox, M. T. 2007. Seven aspects of mixed-initiative reasoning: An introduction to this special issue on mixed-initiative assistants. AI Magazine 28(2):11-18.
14. Tsai, J.; Rathi, S.; Kiekintveld, C.; Ordonez, F.; and Tambe, M. 2009. IRIS: a tool for strategic security allocation in transportation networks. In AAMAS (Industry Track), 37-44.