Computer Modeling of Legal Reasoning
##plugins.themes.bootstrap3.article.main##
Abstract
The article presents an overview of the history and present state in artificial intelligence and law investigations. It discusses what features of legal knowledge determine specific features of computer knowledge-based legal systems and what problems these systems work on. Computer modelling methods and their use for the modelling of legal reasoning are considered as well. Knowledge-based legal systems usually use hybrid methods that integrate several methods. The main methods are deduction, induction and analogy. Deduction is usually used to model legal norms and heuristics. It is the main method in the countries with statute law traditions, and Lithuania is one of such countries. Induction is used to generalize concrete cases and obtain deductive rules. Analogy is used to make a decision on the ground of previous decisions made in similar cases. Induction and analogy are applied in case-based reasoning. The article also overviews some other methods used to model legal reasoning: argumentation, deontic logic, hypertext, neural networks. Issues of computer modelling in legal drafting are discussed separately.
##plugins.themes.bootstrap3.article.details##
Section
Articles
This is an open-access journal, which means that all content is freely available without charge to the user or their institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This follows the BOAI definition of open access. Authors contributing to Jurisprudence agree to publish their articles under a Creative Commons Attribution 4.0 International Public (CC BY) License (applicable from 2025).
Authors retain copyright of their work, with first publication rights granted to the Association for Learning Technology.
Please see Copyright and Licence Agreement for further details.
