We study law enforcement mechanisms within a population of norm-governed learning agents. We show that a traditional analysis based on expected utility can be misleading, because learning agents tend to comply even though their surveillance is stopped. This has significant implications for the design of self-organising institutions with endogenous resources, where the cost of monitoring and norm enforcement has to be taken into consideration.

Law enforcement in norm-governed learning agents / R. Riveret; G. Contissa; A. Rotolo; J. V. Pitt. - STAMPA. - (2013), pp. 1151-1152. (Intervento presentato al convegno AAMAS '13 The 2013 international conference on Autonomous agents and multi-agent systems tenutosi a Saint Paul, MN, USA nel May 6-10, 2013).

Law enforcement in norm-governed learning agents

RIVERET, REGIS;CONTISSA, GIUSEPPE;ROTOLO, ANTONINO;
2013

Abstract

We study law enforcement mechanisms within a population of norm-governed learning agents. We show that a traditional analysis based on expected utility can be misleading, because learning agents tend to comply even though their surveillance is stopped. This has significant implications for the design of self-organising institutions with endogenous resources, where the cost of monitoring and norm enforcement has to be taken into consideration.
2013
AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
1151
1152
Law enforcement in norm-governed learning agents / R. Riveret; G. Contissa; A. Rotolo; J. V. Pitt. - STAMPA. - (2013), pp. 1151-1152. (Intervento presentato al convegno AAMAS '13 The 2013 international conference on Autonomous agents and multi-agent systems tenutosi a Saint Paul, MN, USA nel May 6-10, 2013).
R. Riveret; G. Contissa; A. Rotolo; J. V. Pitt
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/398438
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