Mutually supervised learning in multiagent systems

Claudia V. Goldman; Jeffrey S. Rosenschein

doi:10.1007/3-540-60923-7_20

Mutually supervised learning in multiagent systems

Claudia V. Goldman, Jeffrey S. Rosenschein

The Rachel and Selim Benin School of Engineering and Computer Science

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

17 Scopus citations

Abstract

Learning in a multiagent environment can help agents improve their performance. Agents, in meeting with others, can learn about the partner’s knowledge and strategic behavior. Agents that operate in dynamic environments could react to unexpected events by generalizing what they have learned during a training stage. In this paper, we propose several learning rules for agents in a multiagent environment. Each agent acts as the teacher of its partner. The agents are trained by receiving examples from a sample space; they then go through a generalization step during which they have to apply the concept they have learned from their instructor. Agents that learn from each other can sometimes avoid repeatedly coordinating their actions from scratch for similar problems. They will sometimes be able to avoid communication at run-time, by using learned oordination concepts.

Original language	English
Title of host publication	Adaption and Learning in Multi-Agent Systems - IJCAI 1995 Workshop, Proceedings
Editors	Gerhard Weib, Sandip Sen
Publisher	Springer Verlag
Pages	85-96
Number of pages	12
ISBN (Print)	9783540609230
DOIs	https://doi.org/10.1007/3-540-60923-7_20
State	Published - 1996
Event	Workshop on Adaptation and Learning in Multi-Agent Systems, 1995 held as part of 14th International Joint Conference on Artificial Intelligence, IJCAI 1995 - Montreal, Canada Duration: 21 Aug 1995 → 21 Aug 1995

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1042
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshop on Adaptation and Learning in Multi-Agent Systems, 1995 held as part of 14th International Joint Conference on Artificial Intelligence, IJCAI 1995
Country/Territory	Canada
City	Montreal
Period	21/08/95 → 21/08/95

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1996.

Access to Document

10.1007/3-540-60923-7_20

Cite this

Goldman, C. V., & Rosenschein, J. S. (1996). Mutually supervised learning in multiagent systems. In G. Weib, & S. Sen (Eds.), Adaption and Learning in Multi-Agent Systems - IJCAI 1995 Workshop, Proceedings (pp. 85-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1042). Springer Verlag. https://doi.org/10.1007/3-540-60923-7_20

Goldman, Claudia V. ; Rosenschein, Jeffrey S. / Mutually supervised learning in multiagent systems. Adaption and Learning in Multi-Agent Systems - IJCAI 1995 Workshop, Proceedings. editor / Gerhard Weib ; Sandip Sen. Springer Verlag, 1996. pp. 85-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Goldman, CV & Rosenschein, JS 1996, Mutually supervised learning in multiagent systems. in G Weib & S Sen (eds), Adaption and Learning in Multi-Agent Systems - IJCAI 1995 Workshop, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1042, Springer Verlag, pp. 85-96, Workshop on Adaptation and Learning in Multi-Agent Systems, 1995 held as part of 14th International Joint Conference on Artificial Intelligence, IJCAI 1995, Montreal, Canada, 21/08/95. https://doi.org/10.1007/3-540-60923-7_20

Mutually supervised learning in multiagent systems. / Goldman, Claudia V.; Rosenschein, Jeffrey S.
Adaption and Learning in Multi-Agent Systems - IJCAI 1995 Workshop, Proceedings. ed. / Gerhard Weib; Sandip Sen. Springer Verlag, 1996. p. 85-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1042).

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

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Goldman CV, Rosenschein JS. Mutually supervised learning in multiagent systems. In Weib G, Sen S, editors, Adaption and Learning in Multi-Agent Systems - IJCAI 1995 Workshop, Proceedings. Springer Verlag. 1996. p. 85-96. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-60923-7_20

Mutually supervised learning in multiagent systems

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