| dc.contributor.author | RIVERET, Régis | |
| dc.contributor.author | BUSQUETS, Dídac | |
| dc.contributor.author | PITT, Jeremy | |
| dc.contributor.author | CONTISSA, Giuseppe | |
| dc.contributor.author | ROTOLO, Antonino | |
| dc.contributor.author | SARTOR, Giovanni | |
| dc.date.accessioned | 2014-03-18T10:37:01Z | |
| dc.date.available | 2014-03-18T10:37:01Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Yoichi MOTOMURA, Alastair BUTLER and Daisuke BEKKI (eds), New frontiers in Artificial Intelligence : JSAI-isAI 2012, Berlin : Springer, 2013, Lecture Notes in Computer Science, Vol. 7856, pp. 157-173 | en |
| dc.identifier.isbn | 9783642399305 | |
| dc.identifier.isbn | 9783642399312 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | https://hdl.handle.net/1814/30403 | |
| dc.description.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. | en |
| dc.language.iso | en | en |
| dc.title | A study of ex ante law enforcement in norm-governed learning agents | en |
| dc.type | Contribution to book | en |
| dc.identifier.doi | 10.1007/978-3-642-39931-2_12 | |
| eui.subscribe.skip | true | |