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dc.contributor.authorAzzopardi, Shaun-
dc.contributor.authorPace, Gordon J.-
dc.contributor.authorSchapachnik, Fernando-
dc.contributor.authorSchneider, Gerardo-
dc.date.accessioned2017-12-12T11:07:59Z-
dc.date.available2017-12-12T11:07:59Z-
dc.date.issued2016-
dc.identifier.citationAzzopardi, S., Pace, G. J., Schapachnik, F., & Schneider, G. (2016). Contract automata: an operational view of contracts between interactive parties. Artificial Intelligence and Law, 24(3), 203-243.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/24601-
dc.description.abstractDeontic logic as a way of formally reasoning about norms, an important area in AI and law, has traditionally concerned itself about formalising provisions of general statutes. Despite the long history of deontic logic, given the wide scope of the logic, it is difficult, if not impossible, to formalise all these notions in a single formalism, and there are still ongoing debates on appropriate semantics for deontic modalities in different contexts. In this paper, we restrict our attention to contracts between interactive parties, which are both general enough to be an interesting object of study but specific enough so as to narrow down the debates regarding the meaning of modalities, and present a formalism for reasoning about them.en_GB
dc.language.isoenen_GB
dc.publisherSpringer Netherlandsen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectDeontic logicen_GB
dc.subjectContractsen_GB
dc.subjectMachine theoryen_GB
dc.subjectConditional expectations (Mathematics)en_GB
dc.titleContract automata : an operational view of contracts between interactive partiesen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/s10506-016-9185-2-
dc.publication.titleArtificial Intelligence and Lawen_GB
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