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dc.contributor.authorWALTON, Douglas
dc.contributor.authorSARTOR, Giovanni
dc.contributor.authorMACAGNO, Fabrizio
dc.date.accessioned2017-02-09T14:24:50Z
dc.date.available2017-02-09T14:24:50Z
dc.date.issued2016
dc.identifier.citationArtificial intelligence and law, 2016, Vol. 24, No. 1, pp. 51–91en
dc.identifier.issn1572-8382
dc.identifier.issn0924-8463
dc.identifier.urihttps://hdl.handle.net/1814/45228
dc.descriptionFirst Online: 22 March 2016en
dc.description.abstractThis paper proposes an argumentation-based procedure for legal interpretation, by reinterpreting the traditional canons of textual interpretation in terms of argumentation schemes, which are then classified, formalized, and represented through argument visualization and evaluation tools. The problem of statutory interpretation is framed as one of weighing contested interpretations as pro and con arguments. The paper builds an interpretation procedure by formulating a set of argumentation schemes that can be used to comparatively evaluate the types of arguments used in cases of contested statutory interpretation in law. A simplified version of the Carneades Argumentation System is applied in a case analysis showing how the procedure works. A logical model for statutory interpretation is finally presented, covering pro-tanto and all-things-considered interpretive conclusions.en
dc.language.isoenen
dc.publisherSpringer (part of Springer Nature)en
dc.relation.ispartofArtificial intelligence and lawen
dc.titleAn argumentation framework for contested cases of statutory interpretationen
dc.typeArticleen
dc.identifier.doi10.1007/s10506-016-9179-0
dc.identifier.volume24en
dc.identifier.startpage51en
dc.identifier.endpage91en
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dc.identifier.issue1en


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