The Complexity of Norm Synthesis and Revision

Conference Paper (2022)
Author(s)

Davide Dell'Anna (TU Delft - Control & Simulation)

Natasha Alechina (Universiteit Utrecht)

Fabiano Dalpiaz (Universiteit Utrecht)

Mehdi Dastani (Universiteit Utrecht)

Maarten Löffler (Universiteit Utrecht)

Brian Logan (Universiteit Utrecht, University of Aberdeen)

Research Group
Control & Simulation
Copyright
© 2022 D. Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Maarten Löffler, Brian Logan
DOI related publication
https://doi.org/10.1007/978-3-031-20845-4_3
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 D. Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Maarten Löffler, Brian Logan
Research Group
Control & Simulation
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
38-53
ISBN (print)
9783031208447
Reuse Rights

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Abstract

Norms have been widely proposed as a way of coordinating and controlling the activities of agents in a multi-agent system (MAS). A norm specifies the behaviour an agent should follow in order to achieve the objective of the MAS. However, designing norms to achieve a particular system objective can be difficult, particularly when there is no direct link between the language in which the system objective is stated and the language in which the norms can be expressed. In this paper, we consider the problem of synthesising a norm from traces of agent behaviour, where each trace is labelled with whether the behaviour satisfies the system objective. We show that the norm synthesis problem and several related problems are NP-complete.

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