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dc.contributor.author
Moguillansky, Martin Oscar
dc.contributor.author
Tamargo, Luciano Héctor
dc.date.available
2021-02-26T18:31:30Z
dc.date.issued
2020-10-10
dc.identifier.citation
Moguillansky, Martin Oscar; Tamargo, Luciano Héctor; On argument acceptability change towards legal interpretation dynamics; Springer; Artificial Intelligence and Law; 2020; 10-10-2020; 1-42
dc.identifier.issn
0924-8463
dc.identifier.uri
http://hdl.handle.net/11336/126841
dc.description.abstract
We propose a formal theory built upon an abstract argumentation framework for handling argumentation dynamics. To that end, we analyze the acceptability dynamics of arguments through the proposal of two different kinds of sets of arguments which are somehow responsible for the acceptability/rejection of a given argument. We develop a study of the consequences of breaking the construction of such sets towards the acceptance of an analyzed argument. This brings about the proposal of a novel change operation which allows to determine which arguments should be removed from the framework so that another particular argument becomes accepted. Finally, the proposed model is formalized in the light of the theory of belief revision by characterizing the corresponding operations through constructive definition and an axiomatic characterization, connecting them through the corresponding representation theorem. The theoretical proposal constitutes the fundamentals for a system implementation in many dynamic domains of application. In particular, we show its application for handling the dynamics of legal interpretation. In that sense, this proposal constitutes a fundamental approach and theoretical justification to handle the dynamics of legal arguments through changes of interpretative canons. We show a possible concretisation of our abstract theory for the legal domain by analysing a real legal case from the Argentinean jurisprudence. Such a system would be capable of suggesting alternative critical points in the current state of affairs of a legal case towards pursuing a specific goal for which the case is being investigated.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARGUMENTATION DYNAMICS
dc.subject
BELIEF REVISION
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LEGAL DYNAMICS
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LEGAL INTERPRETATION
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
On argument acceptability change towards legal interpretation dynamics
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-10-27T17:44:45Z
dc.journal.volume
2020
dc.journal.pagination
1-42
dc.journal.pais
Alemania
dc.journal.ciudad
Berlín
dc.description.fil
Fil: Moguillansky, Martin Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Laboratorio de Investigación Socio-Jurídica y de Inteligencia Artificial (JuriSIA); Argentina
dc.description.fil
Fil: Tamargo, Luciano Héctor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Laboratorio de Investigación Socio-Jurídica y de Inteligencia Artificial (JuriSIA); Argentina
dc.journal.title
Artificial Intelligence and Law
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s10506-020-09277-x
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/s10506-020-09277-x
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