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Negotiating agents that learn about others’ preferences

Bui, H. H., Kieronska, D. and Venkatesh, S. 1996, Negotiating agents that learn about others’ preferences, in Adaptation, coevolution and learning in multiagent systems : papers from the 1996 AAAI Symposium, AAAI Press, Menlo Park, Calif., pp. 16-21.

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Title Negotiating agents that learn about others’ preferences
Author(s) Bui, H. H.
Kieronska, D.
Venkatesh, S.
Conference name Workshop on Adaptation, Coevolution and Learning in Multiagent Systems (1996 : Stanford, Calif.)
Conference location Stanford, Calif.
Conference dates 25-27 Mar. 1996
Title of proceedings Adaptation, coevolution and learning in multiagent systems : papers from the 1996 AAAI Symposium
Editor(s) [Unknown]
Publication date 1996
Conference series Workshop on Adaptation, Coevolution and Learning in Multiagent Systems
Start page 16
End page 21
Total pages 6
Publisher AAAI Press
Place of publication Menlo Park, Calif.
Keyword(s) multiagent systems
knowledge acquisition methods
agents
Summary In multiagent systems, an agent does not usually have complete information about the preferences and decision making processes of other agents. This might prevent the agents from making coordinated choices, purely due to their ignorance of what others want. This paper describes the integration of a learning module into a communication-intensive negotiating agent architecture. The learning module gives the agents the ability to learn about other agents’ preferences via past interactions. Over time, the agents can incrementally update their models of other agents’ preferences and use them to make better coordinated decisions. Combining both communication and learning, as two complement knowledge acquisition methods, helps to reduce the amount of communication needed on average, and is justified in situation where communication is computationally costly or simply not desirable (e.g. to preserve the individual privacy).
ISBN 9780929280998
0929280997
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©1996, AAAI
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044782

Document type: Conference Paper
Collections: School of Information Technology
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