Abstract
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.
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Riveret, R., Artikis, A., Busquets, D., Pitt, J. (2014). Self-governance by Transfiguration: From Learning to Prescriptions. In: Cariani, F., Grossi, D., Meheus, J., Parent, X. (eds) Deontic Logic and Normative Systems. DEON 2014. Lecture Notes in Computer Science(), vol 8554. Springer, Cham. https://doi.org/10.1007/978-3-319-08615-6_14
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DOI: https://doi.org/10.1007/978-3-319-08615-6_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08614-9
Online ISBN: 978-3-319-08615-6
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