Reasoning about Norms Revision
arXiv:1810.10591
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.
Appears in the preproceedings of the 29th Benelux Conference on Artificial Intelligence (BNAIC 2017), Groningen, The Netherlands, pp. 281 to 290