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.
@article{arxiv.1810.10591,
title = {Reasoning about Norms Revision},
author = {Davide Dell'Anna and Mehdi Dastani and Fabiano Dalpiaz},
journal= {arXiv preprint arXiv:1810.10591},
year = {2018}
}
Comments
Appears in the preproceedings of the 29th Benelux Conference on Artificial Intelligence (BNAIC 2017), Groningen, The Netherlands, pp. 281 to 290