Context graphs for Ampliative analogical legal reasoning and argumentation

Kohlhase M, Adrian A, Rapp M (2021)

Publication Language: English

Publication Type: Journal article

Publication year: 2021

Journal

Jusletter IT Weblaw

Pages Range: 231-240

Journal Issue: May

DOI: 10.38023/eb626395-40e6-433f-b3b2-50523a4a0a9c

Abstract

Legal Reasoning involves both analytic/deductive and ampliative/analogical components. The latter are tightly connected to defeasibility in legal argumentation. Yet present rule-based models of defeasible legal inference are not ampliative: what is defeasibly derivable is solely determined by the contents of their knowledge base. We argue that a proper modelling of the analogical aspects of legal reasoning allows one to capture both much of its ampliative and much of its defeasible capabilities. Context graphs enable the representation of ampliative analogies as metalogical operations. We sketch algorithms acting on Context Graphs to implement analogical reasoning.

Authors with CRIS profile

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

How to cite

APA:

Kohlhase, M., Adrian, A., & Rapp, M. (2021). Context graphs for Ampliative analogical legal reasoning and argumentation. Jusletter IT, May, 231-240. https://doi.org/10.38023/eb626395-40e6-433f-b3b2-50523a4a0a9c

MLA:

Kohlhase, Michael, Axel Adrian, and Max Rapp. "Context graphs for Ampliative analogical legal reasoning and argumentation." Jusletter IT May (2021): 231-240.

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