| An integrated framework for adaptive reasoning about conversation patterns |
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International Conference on Autonomous Agents
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Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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The Netherlands
SESSION: Posters: ACL and protocols
table of contents
Pages: 1123 - 1124
Year of Publication: 2005
ISBN:1-59593-093-0
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Downloads (6 Weeks): 3, Downloads (12 Months): 16, Citation Count: 0
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ABSTRACT
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information about the communication language and protocols available in a multiagent system is provided in the form of dialogue sequence patterns, possibly tagged with logical conditions and instance information. We describe an integrated social reasoning architecture m2InFFrA that is capable of (i) processing such patterns, (ii) making communication decisions in a boundedly rational way, and (iii) learning patterns and their strategic application from observation.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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F. Fischer and M. Rovatsos. Reasoning about Communication: A Practical Approach based on Empirical Semantics. In Proceedings of the 8th International Workshop on Cooperative Information Agents (CIA), Erfurt, Germany, 2004. Springer.
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LIESON. http://www7.in.tum.de/~rovatsos/lieson, 2002--2004.
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M. Rovatsos. Computational Interaction Frames. PhD thesis, Department of Informatics, Technical University of Munich, 2004.
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M. Rovatsos, F. Fischer, and G. Weiss. Hierarchical Reinforcement Learning for Communicating Agents. In Proceedings of the Second European Workshop on Multiagent Systems (EUMAS), Barcelona, Spain, 2004.
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