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A reduction-graph model of ratio decidendi
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 4th international conference on Artificial intelligence and law table of contents
Amsterdam, The Netherlands
Pages: 40 - 49  
Year of Publication: 1993
ISBN:0-89791-606-9
Author
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
IAAIL : Intl Asso for Artifical Intel & Law
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper proposes a model of ration decidendi as a justification structure consisting of a series of reasoning steps, some of which relate abstract predicates to other abstract predicates and some of which relate abstract predicates to specific facts. This model satisfies four adequacy criteria for ratio decidendi identified from the jurisprudential literature. In particular, the model shows how the theory under which a case is decided controls its precedential effect. By contrast, a purely case-based model of ratio fails to account for the dependency of precedential effect on the theory of decision.


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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