Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns

Felix A. Fischer, Michael Rovatsos, Gerhard Weiß

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

Abstract / Description of output

Communication in multi-agent systems (MASs) is usually governed by agent communication languages (ACLs) and communication protocols carrying a clear cut semantics. With an increasing degree of openness, however, the need arises for more flexible models of communication that can handle the uncertainty associated with the fact that adherence to a supposedly agreed specification of possible conversations cannot be ensured on the side of other agents.
In this paper, we argue for adaptiveness in agent communication. We present a particular approach that combines conversation patterns as a generic way of describing the available means of communication in a MAS with a decisiontheoretic framework and various different machine learning techniques for applying these patterns in and adapting them from actual conversations.
Original languageEnglish
Title of host publicationAgent Communication II
Subtitle of host publicationInternational Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers
EditorsFrank Dignum, Rogier M. van Eijk, Roberto A. Flores
PublisherSpringer Berlin Heidelberg
Pages211-226
Number of pages16
ISBN (Electronic)978-3-540-68143-4
ISBN (Print)978-3-540-68142-7
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume3859
ISSN (Print)0302-9743

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