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PHOSPHORUS: a task-based agent matchmaker

Published: 28 May 2001 Publication History

Abstract

PHOSPHORUS is an agent matchmaking service that exploits domain ontologies, description logic, and a highly declarative language to reason about task-related agent capabilities. PHOSPHORUS uses the EXPECT goal language to represent the tasks that agents are capable of accomplishing, as well as requests to locate agents with a required capability. PHOSPHORUS supports matching through subsumption, reverse subsumption, and several kinds of goal reformulation.

References

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Blythe, J., Kim, J., Ramachandran, S., Gil, Y. An Integrated Environment for Knowledge Acquisition. In Proc. of the International Conference on Intelligent User Interfaces (IUI-2001), Santa Fe, NM, January 2001.
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Chalupsky, H., Gil, Y., Knoblock, C., Lerman, K., Oh, J., Pynadath, D. V., Russ, T. A., Tambe, M. Electric Elves: Applying Agent Technology to Support Human Organizations. In Proc. of the Thirteenth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-2001), Seattle, WA, August 2001.
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Gil, Y., and Gonzalez, P. Subsumption-based matching: Bringing semantics to goals. In International Workshop on Description Logics.
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Kuokka, D. and Harada, L. Modeling Web Sources for Information Integration. In Proceedings of the Fourteenth International Conference on Artificial Intelligence (IJCAI-95), Montreal, Canada, 1995.
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Swartout, B., and Gil, Y. EXPECT: Explicit representations for flexible acquisition. In Proc. Ninth Knowledge Acquisition for Knowledge-Based Systems Workshop.
[6]
Sycara, K.; Lu, J.; Klush, M.; and Widoff, S. Matchmaking among heterogeneous agents in the internet. In AAAI Spring Symposium on Intelligent Agents in Cyberspace.

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cover image ACM Conferences
AGENTS '01: Proceedings of the fifth international conference on Autonomous agents
May 2001
662 pages
ISBN:158113326X
DOI:10.1145/375735
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 May 2001

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AGENTS01
AGENTS01: Autonomous Agents 2001
Quebec, Montreal, Canada

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AGENTS '01 Paper Acceptance Rate 66 of 248 submissions, 27%;
Overall Acceptance Rate 182 of 599 submissions, 30%

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