We investigate law enforcement within a population of norm- governed learning agents using a probabilistic rule-based argumentation framework. We show that this formal framework can advantageously complete a traditional analysis based on expected utilities for the study of law enforcement systems when more realistic assumptions than hyper-rational agents or some behavourial phenomenon such as inertia are desired. This has signicant implications for the design of systems of retributive justice for self-organising electronic institutions with endoge- nous resources, where the cost of monitoring and enforcement of laws and norms has to be taken into consideration.
R. Riveret, G. Contissa, A. Rotolo, J. V. Pitt (2012). On Law Enforcement in Norm-Governed Learning Agents. TOKYO : JSAI.
On Law Enforcement in Norm-Governed Learning Agents
RIVERET, REGIS;CONTISSA, GIUSEPPE;ROTOLO, ANTONINO;
2012
Abstract
We investigate law enforcement within a population of norm- governed learning agents using a probabilistic rule-based argumentation framework. We show that this formal framework can advantageously complete a traditional analysis based on expected utilities for the study of law enforcement systems when more realistic assumptions than hyper-rational agents or some behavourial phenomenon such as inertia are desired. This has signicant implications for the design of systems of retributive justice for self-organising electronic institutions with endoge- nous resources, where the cost of monitoring and enforcement of laws and norms has to be taken into consideration.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
