DRO

Optimal communication amongst team members

Bui, Hung H., Kieronska, Dorota and Venkatesh, Svetha 1997, Optimal communication amongst team members, in AI'97 : Proceedings of the 10th Australian Joint Conference on Artificial Intelligence : Advanced Topics in Artificial Intelligence, Springer - Verlag, Berlin, Germany, pp. 116-126.

Attached Files
Name Description MIMEType Size Downloads

Title Optimal communication amongst team members
Author(s) Bui, Hung H.
Kieronska, Dorota
Venkatesh, Svetha
Conference name Joint Conference on Artificial Intelligence (10th : 1997 : Perth, W. A.)
Conference location Perth, W. A.
Conference dates 30 Nov.-4 Dec. 1997
Title of proceedings AI'97 : Proceedings of the 10th Australian Joint Conference on Artificial Intelligence : Advanced Topics in Artificial Intelligence
Editor(s) Sattar, Abdul
Publication date 1997
Conference series Joint Conference on Artificial Intelligence
Start page 116
End page 126
Total pages 11
Publisher Springer - Verlag
Place of publication Berlin, Germany
Keyword(s) collaborative agents
optimal communication
domain dependent assumptions
Summary We present a formal framework based on the theory of game with incomplete information [5] for modelling the coordination and communication problem among team of collaborative agents, and define what it means by optimal communication in this setting. Although computing an optimal communication strategy for the team is hard in general, we illustrate with an example of collaborative negotiation and meeting scheduling that computation can be substantially reduced when domain dependent assumptions are introduced.
ISBN 3540637974
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 ©1997, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044791

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 40 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 01 May 2012, 10:58:17 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.