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Formalising argumentative story-based analysis of evidence
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International Conference on Artificial Intelligence and Law archive
Proceedings of the 11th international conference on Artificial intelligence and law table of contents
Stanford, California
SESSION: Evidential reasoning table of contents
Pages: 1 - 10  
Year of Publication: 2007
ISBN:978-1-59593-680-6
Authors
F. J. Bex  University of Groningen, the Netherlands
H. Prakken  University of Groningen, Utrecht University
B. Verheij  University of Groningen, the Netherlands
Sponsor
: International Association for Artificial Intelligence and Law
Publisher
ACM  New York, NY, USA
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ABSTRACT

In the present paper, we provide a formalised version of a merged argumentative and story-based approach towards the analysis of evidence. As an application, we are able to show how our approach sheds new light on inference to the best explanation with case evidence. More specifically, it will be clarified how the events in a case story that are considered to be proven abductively explain the otherwise unproven events of the case story. We compare our approach with existing AI work on modelling legal reasoning with evidence.


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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Collaborative Colleagues:
F. J. Bex: colleagues
H. Prakken: colleagues
B. Verheij: colleagues