Monitoring opportunism in multi-agent systems

Publication date

2017

Authors

Luo, JietingISNI 0000000524132021
Meyer, J-J.Ch.ISNI 0000000116521183
Knobbout, MaxISNI 0000000493228943

Editors

Cranefield, Stephen
Mahmoud, Samhar
Padget, Julian A.
Rocha, Ana Paula

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

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.

Keywords

Taverne, Theoretical Computer Science, General Computer Science

Citation

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. 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, conference