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dc.contributor.author
Moguillansky, Martin Oscar
dc.date.available
2021-06-30T13:36:52Z
dc.date.issued
2021-03-19
dc.identifier.citation
Moguillansky, Martin Oscar; Fact Investigation and Proof Standards in Legal Argumentation; IEEE Computer Society; Ieee Intelligent Systems; 36; 2; 19-3-2021; 81-87
dc.identifier.issn
1541-1672
dc.identifier.uri
http://hdl.handle.net/11336/135151
dc.description.abstract
A logical framework is presented to model legal interpretation and bring an appropriate construction of legal arguments. Reasoning with assumptions allows the construction of hypotheses. This is proposed in the context of legal procedures' dynamics, where the framework evolves as part of the investigation prior to each trial instance. Two gender-biased legal cases from the Argentinian jurisprudence are analyzed in the light of the proposed theory. Afterward, some proof standards for civil law systems are discussed as a way to define a specialized dialectical argumentation semantics. We claim that the application of the proposed theory would bring software assistance for controlling the influence of external factors of the law in the investigation of a legal case.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
IEEE Computer Society
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
COGNITION
dc.subject
INTELLIGENT SYSTEMS
dc.subject
LAW
dc.subject
PROPOSALS
dc.subject
SEMANTICS
dc.subject
SOFTWARE
dc.subject
STANDARDS
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.subject.classification
Otras Derecho
dc.subject.classification
Derecho
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Fact Investigation and Proof Standards in Legal Argumentation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-06-10T19:27:10Z
dc.identifier.eissn
1941-1294
dc.journal.volume
36
dc.journal.number
2
dc.journal.pagination
81-87
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Los Alamitos
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; Argentina. Universidad Nacional del Sur; Argentina
dc.journal.title
Ieee Intelligent Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9328536
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/MIS.2021.3052995
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