A novel understanding of legal syllogism as a starting point for better legal symbolic AI systems

Adrian A, Kohlhase M, Rapp M (2021)

Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2021

Journal

Jusletter IT Weblaw

Pages Range: 169-178

Journal Issue: May

DOI: 10.38023/1945d5d5-b8fe-40b6-b05c-00e55cfb8bad

Abstract

In the two most relevant categories of legal systems, the codified law systems and the case law systems, legal argumentation and legal reasoning are at the heart of legal theory and practice. Here we show that the concept of legal syllogism can be used as a starting point in both legal systems for new computational models of legal reasoning. We argue that legal syllogisms are not merely analytic logical inference rules but involve ampliative analogical inference. We aim to operationalize our account in terms of Context Graphs, i.e. internally consistent logical theories linked through rigorously defined analogical relations called views and argumentative relations such as attack and support.

Authors with CRIS profile

Axel Adrian Lehrstuhl für Bürgerliches Recht, Deutsche und Europäische Rechtsgeschichte Michael Kohlhase Professur für Wissensrepräsentation und -verarbeitung Max Rapp Professur für Wissensrepräsentation und -verarbeitung

How to cite

APA:

Adrian, A., Kohlhase, M., & Rapp, M. (2021). A novel understanding of legal syllogism as a starting point for better legal symbolic AI systems. Jusletter IT, May, 169-178. https://doi.org/10.38023/1945d5d5-b8fe-40b6-b05c-00e55cfb8bad

MLA:

Adrian, Axel, Michael Kohlhase, and Max Rapp. "A novel understanding of legal syllogism as a starting point for better legal symbolic AI systems." Jusletter IT May (2021): 169-178.

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