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A framework for co-ordination and learning among teams of agents Bui, Hung H., Venkatesh, Svetha and Kieronska, Dorota 1997, A framework for co-ordination and learning among teams of agents, in Agents and multi-agent systems : formalisms, methodologies, and applications : based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Springer, Heidelberg, Germany, pp. 164-178. Attached Files Name Description MIMEType Size Downloads Title A framework for co-ordination and learning among teams of agents Author(s) Bui, Hung H. Venkatesh, Svetha Kieronska, Dorota Conference name Australian Joint Artificial Intelligence Conference (10th : 1997 : Perth, W. A.) Conference location Perth, W. A. Conference dates 30 Nov.-1 Dec. 1997 Title of proceedings Agents and multi-agent systems : formalisms, methodologies, and applications : based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence Editor(s) Wobcke, Wayne Pagnucco, Maurice Zhang, Chengqi Publication date 1997 Conference series Australian Joint Artificial Intelligence Conference Start page 164 End page 178 Total pages 15 Publisher Springer Place of publication Heidelberg, Germany Keyword(s) team coordination incomplete information learning in multi-agent systems Summary We present a framework for team coordination under incomplete information based on the theory of incomplete information games. When the true distribution of the uncertainty involved is not known in advance, we consider a repeated interaction scenario and show that the agents can learn to estimate this distribution and share their estimations with one another. Over time, as the set of agents' estimations become more accurate, the utility they can achieve approaches the optimal utility when the true distribution is known, while the communication requirement for exchanging the estimations among the agents can be kept to a minimal level. ISBN 3540647694 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 Persistent URL http://hdl.handle.net/10536/DRO/DU:30044851 Document type: Conference Paper Collection: 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 Tue, 01 May 2012, 11:02:25 EST Mon, 07 May 2012, 11:43:45 EST Mon, 07 May 2012, 11:46:49 EST Mon, 07 May 2012, 11:48:02 EST Filtered Full Access Statistics: 42 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:02:25 EST

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