Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns

Felix A. Fischer; Michael Rovatsos; Gerhard Weiß

doi:10.1007/978-3-540-68143-4_15

Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns

Felix A. Fischer, Michael Rovatsos, Gerhard Weiß

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	Agent Communication II
Subtitle of host publication	International Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers
Editors	Frank Dignum, Rogier M. van Eijk, Roberto A. Flores
Publisher	Springer
Pages	211-226
Number of pages	16
ISBN (Electronic)	978-3-540-68143-4
ISBN (Print)	978-3-540-68142-7
DOIs	https://doi.org/10.1007/978-3-540-68143-4_15
Publication status	Published - 2006

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	3859
ISSN (Print)	0302-9743

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10.1007/978-3-540-68143-4_15

http://dx.doi.org/10.1007/978-3-540-68143-4_15

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Fischer, F. A., Rovatsos, M., & Weiß, G. (2006). Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns. In F. Dignum, R. M. V. Eijk, & R. A. Flores (Eds.), Agent Communication II: International Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers (pp. 211-226). (Lecture Notes in Computer Science; Vol. 3859). Springer. https://doi.org/10.1007/978-3-540-68143-4_15

Fischer, Felix A. ; Rovatsos, Michael ; Weiß, Gerhard. / Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns. Agent Communication II: International Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers. editor / Frank Dignum ; Rogier M. van Eijk ; Roberto A. Flores. Springer, 2006. pp. 211-226 (Lecture Notes in Computer Science).

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title = "Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns",

abstract = "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.",

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Fischer, FA, Rovatsos, M & Weiß, G 2006, Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns. in F Dignum, RMV Eijk & RA Flores (eds), Agent Communication II: International Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers. Lecture Notes in Computer Science, vol. 3859, Springer, pp. 211-226. https://doi.org/10.1007/978-3-540-68143-4_15

Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns. / Fischer, Felix A.; Rovatsos, Michael; Weiß, Gerhard.
Agent Communication II: International Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers. ed. / Frank Dignum; Rogier M. van Eijk; Roberto A. Flores. Springer, 2006. p. 211-226 (Lecture Notes in Computer Science; Vol. 3859).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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Fischer FA, Rovatsos M, Weiß G. Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns. In Dignum F, Eijk RMV, Flores RA, editors, Agent Communication II: International Workshops on Agent Communication, AC 2005 and AC 2006, Utrecht, Netherlands, July 25, 2005, and Hakodate, Japan, May 9, 2006, Selected and Revised Papers. Springer. 2006. p. 211-226. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-68143-4_15

Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns

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