Monitoring opportunism in multi-agent systems

Jieting Luo; John Jules Meyer; Max Knobbout

doi:10.1007/978-3-319-66595-5_7

Monitoring opportunism in multi-agent systems

Jieting Luo^*, John Jules Meyer, Max Knobbout

^*Corresponding author for this work

Delft University of Technology

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

Abstract

Opportunism is a behavior that causes norm violation and promotes agents’ own value. In the context of multi-agent systems, it is important to constrain such a selfish behavior through setting enforcement norms. Because opportunistic behavior cannot be observed directly, there has to be a monitoring mechanism that can detect the performance of opportunistic behavior in the system. This paper provides a logical framework based on the specification of actions to specify monitoring approaches for opportunism. We investigate how to evaluate agents’ actions to be opportunistic with respect to different forms of norms when those actions cannot be observed directly, and study how to reduce the monitoring cost for opportunism.

Original language	English
Title of host publication	Coordination, Organizations, Institutions, and Norms in Agent Systems XII
Subtitle of host publication	COIN 2016 International Workshops, COIN@AAMAS and COIN@ECAI, Revised Selected Papers
Editors	Stephen Cranefield, Samhar Mahmoud, Julian A. Padget, Ana Paula Rocha
Place of Publication	Cham, Swirzerland
Publisher	Springer
Pages	119-138
Number of pages	20
ISBN (Electronic)	9783319665955
ISBN (Print)	9783319665948
DOIs	https://doi.org/10.1007/978-3-319-66595-5_7
Publication status	Published - 2017
Event	12th International Workshops on Coordination, Organizations, Institutions and Norms in Agent Systems, COIN 2016, Co-located with AAMAS 2016 and ECAI 2016 - The Hague, Netherlands Duration: 30 Aug 2016 → 30 Aug 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10315
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	12th International Workshops on Coordination, Organizations, Institutions and Norms in Agent Systems, COIN 2016, Co-located with AAMAS 2016 and ECAI 2016
Country/Territory	Netherlands
City	The Hague
Period	30/08/16 → 30/08/16

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10.1007/978-3-319-66595-5_7

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Luo, J., Meyer, J. J., & Knobbout, M. (2017). Monitoring opportunism in multi-agent systems. In S. Cranefield, S. Mahmoud, J. A. Padget, & A. P. Rocha (Eds.), Coordination, Organizations, Institutions, and Norms in Agent Systems XII: COIN 2016 International Workshops, COIN@AAMAS and COIN@ECAI, Revised Selected Papers (pp. 119-138). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10315). Springer. https://doi.org/10.1007/978-3-319-66595-5_7

Luo, Jieting ; Meyer, John Jules ; Knobbout, Max. / Monitoring opportunism in multi-agent systems. Coordination, Organizations, Institutions, and Norms in Agent Systems XII: COIN 2016 International Workshops, COIN@AAMAS and COIN@ECAI, Revised Selected Papers. editor / Stephen Cranefield ; Samhar Mahmoud ; Julian A. Padget ; Ana Paula Rocha. Cham, Swirzerland : Springer, 2017. pp. 119-138 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Monitoring opportunism in multi-agent systems",

abstract = "Opportunism is a behavior that causes norm violation and promotes agents{\textquoteright} own value. In the context of multi-agent systems, it is important to constrain such a selfish behavior through setting enforcement norms. Because opportunistic behavior cannot be observed directly, there has to be a monitoring mechanism that can detect the performance of opportunistic behavior in the system. This paper provides a logical framework based on the specification of actions to specify monitoring approaches for opportunism. We investigate how to evaluate agents{\textquoteright} actions to be opportunistic with respect to different forms of norms when those actions cannot be observed directly, and study how to reduce the monitoring cost for opportunism.",

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doi = "10.1007/978-3-319-66595-5_7",

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isbn = "9783319665948",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Stephen Cranefield and Samhar Mahmoud and Padget, {Julian A.} and Rocha, {Ana Paula}",

booktitle = "Coordination, Organizations, Institutions, and Norms in Agent Systems XII",

note = "12th International Workshops on Coordination, Organizations, Institutions and Norms in Agent Systems, COIN 2016, Co-located with AAMAS 2016 and ECAI 2016 ; Conference date: 30-08-2016 Through 30-08-2016",

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Luo, J, Meyer, JJ & Knobbout, M 2017, Monitoring opportunism in multi-agent systems. in S Cranefield, S Mahmoud, JA Padget & AP Rocha (eds), Coordination, Organizations, Institutions, and Norms in Agent Systems XII: COIN 2016 International Workshops, COIN@AAMAS and COIN@ECAI, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10315, Springer, Cham, Swirzerland, pp. 119-138, 12th International Workshops on Coordination, Organizations, Institutions and Norms in Agent Systems, COIN 2016, Co-located with AAMAS 2016 and ECAI 2016, The Hague, Netherlands, 30/08/16. https://doi.org/10.1007/978-3-319-66595-5_7

Monitoring opportunism in multi-agent systems. / Luo, Jieting; Meyer, John Jules; Knobbout, Max.
Coordination, Organizations, Institutions, and Norms in Agent Systems XII: COIN 2016 International Workshops, COIN@AAMAS and COIN@ECAI, Revised Selected Papers. ed. / Stephen Cranefield; Samhar Mahmoud; Julian A. Padget; Ana Paula Rocha. Cham, Swirzerland: Springer, 2017. p. 119-138 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10315).

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

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AB - Opportunism is a behavior that causes norm violation and promotes agents’ own value. In the context of multi-agent systems, it is important to constrain such a selfish behavior through setting enforcement norms. Because opportunistic behavior cannot be observed directly, there has to be a monitoring mechanism that can detect the performance of opportunistic behavior in the system. This paper provides a logical framework based on the specification of actions to specify monitoring approaches for opportunism. We investigate how to evaluate agents’ actions to be opportunistic with respect to different forms of norms when those actions cannot be observed directly, and study how to reduce the monitoring cost for opportunism.

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Luo J, Meyer JJ, Knobbout M. Monitoring opportunism in multi-agent systems. In Cranefield S, Mahmoud S, Padget JA, Rocha AP, editors, Coordination, Organizations, Institutions, and Norms in Agent Systems XII: COIN 2016 International Workshops, COIN@AAMAS and COIN@ECAI, Revised Selected Papers. Cham, Swirzerland: Springer. 2017. p. 119-138. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-66595-5_7

Monitoring opportunism in multi-agent systems

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