An Integrated Framework for Adaptive Reasoning About Conversation Patterns

Michael Rovatsos, Felix Fischer, Gerhard Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems
Place of PublicationNew York, NY, USA
PublisherACM
Pages1123-1124
Number of pages2
ISBN (Print)1-59593-093-0
DOIs
Publication statusPublished - 2005

Publication series

NameAAMAS '05
PublisherACM

Keywords / Materials (for Non-textual outputs)

  • agent communication, evolutionary semantics, interaction frames, social reasoning

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