Efficient representation and effective reasoning for multi-agent systems

Pham,Duy Hoang and Governatori, Guido (2008). Efficient representation and effective reasoning for multi-agent systems. In: Gerhard Brewka and Jérôme Lang, Proceedings, Eleventh International Conference on Principles of Knowledge Representation and Reasoning. 11th International Conference on Principles of Knowledge Representation and Reasoning, Sydney, Australia, (1-4). 16-19 September.

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Author Pham,Duy Hoang
Governatori, Guido
Title of paper Efficient representation and effective reasoning for multi-agent systems
Conference name 11th International Conference on Principles of Knowledge Representation and Reasoning
Conference location Sydney, Australia
Conference dates 16-19 September
Proceedings title Proceedings, Eleventh International Conference on Principles of Knowledge Representation and Reasoning
Place of Publication Menlo Park, Calif.
Publisher AAAI Press
Publication Year 2008
Year available 2008
Sub-type Fully published paper
ISBN 1577353846
9781577353843
Editor Gerhard Brewka
Jérôme Lang
Start page 1
End page 4
Total pages 4
Language eng
Abstract/Summary In multi-agent systems, interactions between agents are often related to cooperation or competition in such a fashion that they can fulfil their tasks. Successful interactions often require agents to share common and unified knowledge about their working environment. However, autonomous agents observe and judge their surroundings by their own view. Consequently, agents possibly have partial and sometimes conflicting descriptions of the world. In scenarios where they have to coordinate, they are required to identify the shared knowledge in the group and to be able to reason with available information. This problem requires more sophisticated modelling and reasoning methods, which is beyond the classical logics and monotonic reasoning. We introduce a formal framework based on Defeasible Logic (DL) to describe the knowledge commonly shared by agents, and that obtained from other agents. This enables an agent to efficiently reason about the environment and intentions of other agents given available information. We propose to extend the reasoning mechanism of DL with the superior knowledge. This mechanism allows an agent to integrate its mental attitude with a more trustworthy source of information such as the knowledge shared by the majority of other agents.
Subjects 080101 Adaptive Agents and Intelligent Robotics
080199 Artificial Intelligence and Image Processing not elsewhere classified
Keyword Multiagent systems
Defeasible logic
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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Created: Wed, 03 Sep 2008, 11:42:18 EST by Mr Hoang Duy Pham on behalf of School of Information Technol and Elec Engineering