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Supporting of legal reasoning for cases which are not strictly regulated by law

Published: 08 June 2009 Publication History

Abstract

Statute law legislators are usually not in a position to foresee each and every situation or event which may actually occur in real life. That is why lawyers in the course of their everyday practice very often struggle with interpreting the cases which are not expressly regulated in the law. The legal theory and practice has given rise to a wide array of methods to deal with this type of problems. The solutions described in this article have been implemented in the advisory system developed by the authors whose main goal is to provide automatic legal advice on the Agricultural Tax

References

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Gordon T. 1987. Some Problems with PROLOG as a Knowledge Representation Language for Legal Expert Systems. Yearbook of Law, Computers&Technology. Ed. C. Arnold. London, 52--67.
[2]
Greinke A. 1994. Legal Expert System: A humanistic critique of Mechanical Legal Interface. DOI = http://www.murdoch.edu.au/elaw/issues/v1n4/greinke14.txt
[3]
Leszczynski L. 2001. Issues of theory of application of law in Polish Zakamycze
[4]
The Journal of Laws of the Republic of Poland
[5]
Ziembinski Z. 1990 Practical Logic in Polish. PWN Warsaw
[6]
Zurek T. 2008.Knowledge Base Ontology in Legal Expert System in: Polish Journal of Enviromental Studies vol 17, No 3B Olsztyn

Cited By

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  • (2021)RYEL: An Experimental Study in the Behavioral Response of Judges Using a Novel Technique for Acquiring Higher-Order Thinking Based on Explainable Artificial Intelligence and Case-Based ReasoningElectronics10.3390/electronics1012150010:12(1500)Online publication date: 21-Jun-2021
  • (2013)Causality and Other Aspects of Instrumental ReasoningBusiness Information Systems Workshops10.1007/978-3-642-41687-3_18(184-195)Online publication date: 2013

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  1. Supporting of legal reasoning for cases which are not strictly regulated by law

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    cover image ACM Other conferences
    ICAIL '09: Proceedings of the 12th International Conference on Artificial Intelligence and Law
    June 2009
    244 pages
    ISBN:9781605585970
    DOI:10.1145/1568234
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 08 June 2009

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    Author Tags

    1. legal expert systems
    2. reasoning
    3. tax law

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    ICAIL '09

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    ICAIL '09 Paper Acceptance Rate 22 of 58 submissions, 38%;
    Overall Acceptance Rate 69 of 169 submissions, 41%

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    • (2021)RYEL: An Experimental Study in the Behavioral Response of Judges Using a Novel Technique for Acquiring Higher-Order Thinking Based on Explainable Artificial Intelligence and Case-Based ReasoningElectronics10.3390/electronics1012150010:12(1500)Online publication date: 21-Jun-2021
    • (2013)Causality and Other Aspects of Instrumental ReasoningBusiness Information Systems Workshops10.1007/978-3-642-41687-3_18(184-195)Online publication date: 2013

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