Norms are commonly understood as guides for the conduct of autonomous agents, thereby easing their individual decision-making and coordination. However, their study exhibits a polarity between (i) norms as behavioural patterns emerging from repeated agents' (inter)actions and (ii) norms as explicit prescriptions. In this paper, we attempt to build a bridge between these two conceptual poles of norms: it takes the form of a mental function for prescriptive transfiguration allowing reinforced learning agents to express their learning experiences into prescriptions. The population of transfigurative agents are then equipped with a consensus system to build and enforce prescriptive systems to self-govern on-line. Simple simulations suggest the pertinence of the approach and shows its weaknesses, in particular prescriptions stalling learning, and timeliness in norm construction. © 2014 Springer International Publishing.
CITATION STYLE
Riveret, R., Artikis, A., Busquets, D., & Pitt, J. (2014). Deontic Logic and Normative Systems. (F. Cariani, D. Grossi, J. Meheus, & X. Parent, Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8554, pp. 177–191). Cham: Springer International Publishing. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84904176952&partnerID=tZOtx3y1
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