Research article
Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems
Sztuczne sieci neuronalne w modelowaniu rozumowań prawniczych . O problemach wynikających ze specyfiki prawa
Archiwum Filozofii Prawa i Filozofii Społecznej, nr 2(7)/2013, s. 52-62
English
Abstract
The purpose of this paper is to describe the application of artificial neural networks in modeling legal reasoning. In particular, the paper will be focused on specific problems which may occur only on the ground of legal reasoning and are difficult from the artificial intelligence perspective. The focal point of the paper is not to provide technical details of analyzed systems but to point out parts of legal conceptual framework which are inconsistent with classical techniques of designing of expert system. Paper consists description of a few legal expert systems based on artificial neural networks. Each of them is the basis for presentation of particular feature of legal reasoning which are considered difficult from the AI point of view e.g. vague concepts, open-texture, analogy.
Keywords
- artificial neural networks
- SplitUp programme
- liability for damages
- legal reasoning
References
10 reference entries
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Publication information
Issue data
Issue nr 2(7)/2013
- Pages
- 52-62
- Published
How to cite
Bibliographic description and verified export formats.
Format AFPiFS
R. Michalczak, Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems, „Archiwum Filozofii Prawa i Filozofii Społecznej” nr 2(7)/2013, s. 52–62, DOI: 10.36280/afpifs.2013.2.52
ACM
[1] Rafał Michalczak. 2013. Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems. AFPiFS 2(7) (2013), 52–62. https://doi.org/10.36280/afpifs.2013.2.52
ACS
(1) Michalczak, R. Application of Artificial Neural Networks for Modeling Legal Reasoning. On Legal Reasoning Specific Problems. AFPiFS 2013, No. 2(7), 52–62. https://doi.org/10.36280/afpifs.2013.2.52.
APA
Michalczak, R. (2013). Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems. Archiwum Filozofii Prawa i Filozofii Społecznej, 2(7), 52–62. https://doi.org/10.36280/afpifs.2013.2.52
ABNT
MICHALCZAK, Rafał. Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems. Archiwum Filozofii Prawa i Filozofii Społecznej, n. 2(7), p. 52–62, 2013.
Chicago
Michalczak, Rafał. “Application of Artificial Neural Networks for Modeling Legal Reasoning. On Legal Reasoning Specific Problems.” Archiwum Filozofii Prawa i Filozofii Społecznej, no. 2(7) (2013): 52–62. https://doi.org/10.36280/afpifs.2013.2.52.
Harvard
Michalczak, R. (2013) “Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems,” Archiwum Filozofii Prawa i Filozofii Społecznej, 2(7), pp. 52–62. Available at: https://doi.org/10.36280/afpifs.2013.2.52.
IEEE
[1] R. Michalczak, “Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems,” AFPiFS, no. 2(7), pp. 52–62, 2013, doi: 10.36280/afpifs.2013.2.52.
MLA
Michalczak, Rafał. “Application of Artificial Neural Networks for Modeling Legal Reasoning. On Legal Reasoning Specific Problems.” Archiwum Filozofii Prawa i Filozofii Społecznej, no. 2(7), 2013, pp. 52–62, https://doi.org/10.36280/afpifs.2013.2.52.
Turabian
Michalczak, Rafał. “Application of Artificial Neural Networks for Modeling Legal Reasoning. On Legal Reasoning Specific Problems.” Archiwum Filozofii Prawa i Filozofii Społecznej, no. 2(7) (2013): 52–62. https://doi.org/10.36280/afpifs.2013.2.52.
Vancouver
1. Michalczak R. Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems. AFPiFS. 2013;2(7):52–62. doi:10.36280/afpifs.2013.2.52
OSCOLA
Rafał Michalczak, ‘Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems’ (2013) 2(7) AFPiFS 52 <https://doi.org/10.36280/afpifs.2013.2.52>.