| Intelligent jurisprudence research: a new concept |
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International Conference on Artificial Intelligence and Law
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Proceedings of the 7th international conference on Artificial intelligence and law
table of contents
Oslo, Norway
Pages: 164 - 172
Year of Publication: 1999
ISBN:1-58113-165-8
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Author
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Rosina Weber
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CCEPS/ULBRA, R.L.Linhares, 657/204-A, Florianópolis, SC, Brazil
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Downloads (6 Weeks): 0, Downloads (12 Months): 11, Citation Count: 5
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ABSTRACT
Intelligent Jurisprudence Research (IJR) is a concept that consists in performing jurisprudence research with a computational tool that employs Artificial Intelligence (AI) techniques. Jurisprudence research is the search employed by judicial professionals when seeking for past legal situations that may be useful to a legal activity. When humans perform jurisprudence research, they employ analogical reasoning in comparing a given actual situation with past decisions, noting the affinities between them. In the process of remembering a similar situation when faced to a new one, Case-Based Reasoning (CBR) systems simulate analogical reasoning. Therefore, CBR is an appropriate technology to deal with the chosen problem.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Weber, R. (1998) Intelligent Jurisprudence Research. Doctoral Dissertation, Graduate Program of Production Engineering at the Federal University of Santa Catarina, Brazil. May, 1998. In Activities. Available online http://www.eps.ufsc.br/-rosina/html/activities.html
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Weber, R.; Martins, A.; Barcia, R. (1998). On Texts and Legal Cases. AAAI Fifteenth National Conference on Artificial Intelligence. July 26-27, Madison, Wisconsin. Workshop on Textual Case-Based Reasoning.
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Rosina Weber-Lee , Ricardo Miranda Barcia , Marcio C. da Costa , Ilson W. Rodrigues Filho , Hugo Cesar Hoeschl , Tania C. D'Agostini Bueno , Alejandro Martins , Roberto C. Pacheco, A Large Case-Based Reasoner for Legal Cases, Proceedings of the Second International Conference on Case-Based Reasoning Research and Development, p.190-199, July 25-27, 1997
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