Artificial neural networks and legal categorization
نویسندگان
چکیده
This paper describes an experiment which consists in teaching a connexionnist model a legal dispute. The aim is to analyze the mode of representation of the dispute realized by the model, and to compare it with the representation elaborated by judges specialized in this kind of dispute. Comparison shows that the representation of the computer and that of the jurist are very similar, which makes relevant the use of these models and methods in the analysis of legal reasoning, and possibly in the optimization of its processing. The method described here also contributes to open a little more the “black box” that characterized the artificial neural networks.
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