Mgr Rafał Michalczak
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
Published: Number 2(7)/2013, pp. 52-62
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