Multi-agent decision support via user-modeling

Proceedings of the International Conference on Autonomous Agents

Volumn , Issue , 2005, Pages 367-374

  Harvey, Terrence ^a   Decker, Keith ^a   Carberry, Sandra ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

Decision support; Robustness; User modeling

Indexed keywords

DECISION SUPPORT; ROBUSTNESS; USER MODELING;

CONSTRAINT THEORY; DECISION SUPPORT SYSTEMS; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; MATHEMATICAL MODELS;

MULTI AGENT SYSTEMS;

EID: 33644788927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. D. N. Chin and A. Porage. Acquiring user preferences for product customization. In UM '01: Proceedings of the 8th International Conference on User Modeling 2001, pages 95-104. Springer-Verlag, 2001.
2. J. Chu-Carroll and S. Carberry. A plan-based model for response generation in collaborative task-oriented dialogues. In Proceedings of the 12th Annual American Association for Artificial Intelligence, pages 799-805, 1994.
3. W. Conen and T. Sandholm. Anonymous pricing of efficient allocations in combinatorial economies. In AAMAS, pages 254-260, 2004.
4. K. S. Decker and V. R. Lesser. Quantitative modeling of complex computational task environments. In Proceedings of the Eleventh National Conference on Artificial Intelligence, pages 217-224, Washington, July 1993.
5. K. S. Decker and K. Sycara. Intelligent adaptive information agents. Intelligent Information Systems, 9:239-260, 1997.
6. Foundation for Intelligent Physical Agents (FIPA). Fipa '97 specification part 2: Agent communication language. http://drogo.cselt.stet.it/fipa/.
7. J. Graham, K. Decker, and M. Mersic. DECAF - a flexible multi-agent system architecture. Autonomous Agents and Multi-Agent Systems, 7(1-2):7-27, 2003. Overview of the DECAF architecture.
8. N. R. Jennings. Controlling cooperative problem solving in industrial multi-agent systems using joint intentions. Artificial Intelligence, 75(2): 195-240, 1995.
9. G. A. Kaminka and M. Tambe. What is wrong with us? improving robustness through social diagnosis. In AAAI '98/IAAI '98: Proceedings of the fifteenth national conference on Artificial intelligence, pages 97-104. American Association for Artificial Intelligence, 1998.
10. F. Klusch, Matthias; Zambonelli, editor. 5th International Workshop on Cooperative Information Agents, Lecture Notes in Computer Science 2182, Modena, Italy, September 2001. Springer.
11. S. Kumar and P. R. Cohen. Towards a fault-tolerant multi-agent system architecture. In AGENTS '00: Proceedings of the fourth international conference on Autonomous agents, pages 459-466. ACM Press, 2000.
12. V. Lesser, B. Horling, F. Klassner, A. Raja, T. Wagner, and S. X. Zhang. Big: an agent for resource-bounded information gathering and decision making. Artif. Intell., 118(1-2):197-244, 2000.
13. G. Linden, S. Hanks, and N. Lesh. Interactive assessment of user preference models: The Automated Travel Assistant. In A. Jameson, C. Paris, and C. Tasso, editors, User Modeling: Proceedings of the Sixth International Conference, UM97, pages 67-78. Springer Wien New York, Vienna, New York, 1997. Available from http://um.org.
14. J. Moore, M. Foster, O. Lemon, and M. White. Generating tailored, comparative descriptions in spoken dialogue. In Proceedings of FLAIRS-04, 2004.
15. C. J. Petrie. Agent-based engineering, the web, and intelligence. IEEE Expert, December 1996.
16. K. Sycara, K. S. Decker, A. Pannu, M. Williamson, and D. Zeng. Distributed intelligent agents. IEEE Expert, 11(6):36-46, Dec. 1996.
17. M. Walker, S. Whittaker, A. Stent, P. Maloor, J. Moore, M. Johnston, and G. Vasireddy. User tailored generation in the match multimodal dialogue system. In Cognitive Science, volume 28, pages 811-840, 2004.
18. P. R. Wurman and M. P. Wellman. Akba: A progressive, anonymous-price combinatorial auction, In Second ACM Conference on Electronic Commerce, pages 21-29, Minneapolis MN, October 2000.