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. Attached Files Name Description MIMEType Size Downloads Title Learning other agents' preferences in multiagent negotiation Author(s) Bui, H. H. Kieronska, D. 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 026251091X 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 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 20 Apr 2012, 11:31:53 EST Thu, 26 Apr 2012, 09:29:57 EST Thu, 26 Apr 2012, 09:35:42 EST Mon, 14 May 2012, 09:28:52 EST Mon, 14 May 2012, 09:37:49 EST Sat, 21 Oct 2017, 02:01:13 EST Filtered Full Citation counts:   Cited 23 times in TR Web of Science Cited 31 times in Scopus Search Google Scholar Access Statistics: 1287 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:31:53 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.