We investigate ex ante 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, in particular when hyper-rational or omniscient agents are not assumed. This has significant implications for the design of self-organising electronic institutions, where the cost of monitoring and enforcement of laws and norms has to be taken into consideration.
R. Riveret, D. Busquets, J. Pitt, G. Contissa, A. Rotolo, G. Sartor (2013). A Study of Ex Ante Law Enforcement in Norm-Governed Learning Agents. Berlin : Springer Berlin Heidelberg [10.1007/978-3-642-39931-2_12].
A Study of Ex Ante Law Enforcement in Norm-Governed Learning Agents
RIVERET, REGIS;CONTISSA, GIUSEPPE;ROTOLO, ANTONINO;SARTOR, GIOVANNI
2013
Abstract
We investigate ex ante 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, in particular when hyper-rational or omniscient agents are not assumed. This has significant implications for the design of self-organising electronic institutions, 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.
