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Intelligent jurisprudence research: a new concept
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Source International Conference on Artificial Intelligence and Law archive
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
Author
Rosina Weber  CCEPS/ULBRA, R.L.Linhares, 657/204-A, Florianópolis, SC, Brazil
Sponsors
IAAIL : Intl Asso for Artifical Intel & Law
NRCCL : Norwegial Research Center on Computers and Law
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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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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