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dc.contributor.authorRIVERET, Régis
dc.contributor.authorROTOLO, Antonino
dc.contributor.authorSARTOR, Giovanni
dc.contributor.authorPRAKKEN, Henry
dc.contributor.authorROTH, Bram
dc.date.accessioned2014-03-18T13:09:55Z
dc.date.available2014-03-18T13:09:55Z
dc.date.issued2007
dc.identifier.citationArno R. LODDER and Laurens MOMMERS (eds), Legal knowledge and information systems : JURIX 2007 : the twentieth annual conference, Amsterdam ; Washington : IOS Press, 2007, Frontiers in artificial intelligence and applications ; v. 165, pp. 99-108en
dc.identifier.isbn9781586038106
dc.identifier.urihttps://hdl.handle.net/1814/30411
dc.description.abstractThe outcome of a legal dispute, namely, the decision of its adjudicator, is uncertain, and both parties develop their strategies on the basis of their appreciation of the probability that the adjudicator will accept their arguments or the arguments of their adversary. Costs and gains have to be balanced in light of this uncertainty in order to identify the most convenient strategies. This paper provides a probabilistic approach embedded into an argumentation framework to capture this uncertainty and its use to determine the expected utility to engage in a legal dispute.en
dc.language.isoenen
dc.titleSuccess chances in argument games : a probabilistic approach to legal disputesen
dc.typeContribution to booken
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