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dc.contributor.author
Moguillansky, Martin Oscar  
dc.contributor.author
Martínez, Diego César  
dc.contributor.author
Tamargo, Luciano Héctor  
dc.contributor.author
Rotolo, Antonino  
dc.date.available
2023-10-03T12:53:46Z  
dc.date.issued
2023-06  
dc.identifier.citation
Moguillansky, Martin Oscar; Martínez, Diego César; Tamargo, Luciano Héctor; Rotolo, Antonino; An approach to temporalised legal revision through addition of literals; Springer; Artificial Intelligence and Law; 6-2023; 1-46  
dc.identifier.issn
1572-8382  
dc.identifier.uri
http://hdl.handle.net/11336/213908  
dc.description.abstract
As lawmakers produce norms, the underlying normative system is affected showing the intrinsic dynamism of law. Through undertaken actions of legal change, the normative system is continuously modified. In a usual legislative practice, the time for an enacted legal provision to be in force may differ from that of its inclusion to the legal system, or from that in which it produces legal effects. Even more, some provisions can produce effects retroactively in time. In this article we study a simulation of such process through the formalisation of a temporalised logical framework upon which a novel belief revision model tackles the dynamic nature of law. Represented through intervals, the temporalisation of sentences allows differentiating the temporal parameters of norms. In addition, a proposed revision operator allows assessing change to the legal system by including a new temporalised literal while preserving the time-based consistency. This can be achieved either by pushing out conflictive pieces of pre-existing norms or through the modification of intervals in which such norms can be either in force, or produce effects. Finally, the construction of the temporalised revision operator is axiomatically characterised and its rational behavior proved through a corresponding representation theorem.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BELIEF REVISION  
dc.subject
LEGAL REVISION  
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NORM CHANGE  
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TEMPORAL REASONING  
dc.subject.classification
Ciencias de la Computación  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
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Derecho  
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Derecho  
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CIENCIAS SOCIALES  
dc.title
An approach to temporalised legal revision through addition of literals  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-10-03T10:21:32Z  
dc.journal.pagination
1-46  
dc.journal.pais
Reino Unido  
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  
dc.description.fil
Fil: Martínez, Diego César. 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  
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  
dc.description.fil
Fil: Rotolo, Antonino. Universidad de Bologna; Italia  
dc.journal.title
Artificial Intelligence and Law  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1007/s10506-023-09363-w  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10506-023-09363-w