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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  
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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