@inproceedings{DBLP:journals/corr/abs-1810-10591,
  author    = {Davide Dell'Anna and
               Mehdi Dastani and
               Fabiano Dalpiaz},
  title     = {Reasoning about Norms Revision},
  booktitle   = {Preproceedings of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017},
  volume    = {abs/1810.10591},
  pages     = {281--290},
  year      = {2017},
  url_Paper       = {http://arxiv.org/abs/1810.10591},
  url_Poster= {2017_BNAIC/BNAIC17_DellAnna_Poster.pdf},
  keywords  = {Norm Revision, Norms, MAS, Multi-Agent Systems, Data Driven Supervision Of Autonomous Systems},
  archivePrefix = {arXiv},
  eprint    = {1810.10591},
  timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1810-10591.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  abstract = {Norms with sanctions have been widely employed as a mechanism for controlling and coordinating the behavior of agents without limiting their autonomy. The norms enforced in a multi-agent system can be revised in order to increase the likelihood that desirable system properties are fulfilled or that system performance is sufficiently high. In this paper, we provide a preliminary analysis of some types of norm revision: relaxation and strengthening. Furthermore, with the help of some illustrative scenarios, we show the usefulness of norm revision for better satisfying the overall system objectives.}
}

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