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Induction of defeasible logic theories in the legal domain
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 9th international conference on Artificial intelligence and law table of contents
Scotland, United Kingdom
SESSION: Logical models table of contents
Pages: 204 - 213  
Year of Publication: 2003
ISBN:1-58113-747-8
Authors
Benjamin Johnston  The University of Queensland, Brisbane, Queensland, Australia
Guido Governatori  The University of Queensland, Brisbane, Queensland, Australia
Sponsors
: The Joseph Bell Centre for Forensic Statistics and Legal Reasoning
: West Group, Thomson Legal & Regulatory
: The University of Edinburgh School of Law
SIGART: ACM Special Interest Group on Artificial Intelligence
: The International Association for Artificial Intelligence and Law
Publisher
ACM  New York, NY, USA
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ABSTRACT

Defeasible Logic is a promising representation for legal knowledge that appears to overcome many of the deficiencies of previous approaches to representing legal knowledge. Unfortunately, an immediate application of technology to the challenges of generating theories in the legal domain is an expensive and computationally intractable problem. So, in light of the potential benefits, we seek to find a practical algorithm that uses heuristics to discover an approximate solution. As an outcome of this work, we have developed an algorithm that integrates defeasible logic into a decision support system by automatically deriving its knowledge from databases of precedents. Experiments with the new algorithm are very promising -- delivering results comparable to and exceeding other approaches.


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:
Benjamin Johnston: colleagues
Guido Governatori: colleagues