Learning other agents' preferences in multiagent negotiation

Bui, H. H., Kieronska, D. and Venkatesh, S. 1996, Learning other agents' preferences in multiagent negotiation, in AAAI-96 : Proceedings of the 13th National Conference on Artificial Intelligence, AAAI, Menlo Park, Calif., pp. 114-119.

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Title Learning other agents' preferences in multiagent negotiation
Author(s) Bui, H. H.
Kieronska, D.
Venkatesh, S.ORCID iD for Venkatesh, S. orcid.org/0000-0001-8675-6631
Conference name National Conference on Artificial Intelligence (13th : 1996 : Portland, Or.)
Conference location Portland, Or.
Conference dates 4-8 Aug. 1996
Title of proceedings AAAI-96 : Proceedings of the 13th National Conference on Artificial Intelligence
Editor(s) [Unknown]
Publication date 1996
Conference series National Conference on Artificial Intelligence
Start page 114
End page 119
Total pages 6
Publisher AAAI
Place of publication Menlo Park, Calif.
Keyword(s) communication
computation theory
decision making
knowledge acquisition
mathematical models
problem solving
statistical methods
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 situations where communication is computationally costly or simply not desirable (e.g. to preserve the individual privacy).
ISBN 9780262510912
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:30044554

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