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Argumentation and Defeasible Reasoning in the Law

Author

Listed:
  • Marco Billi

    (Alma AI—Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum —Università di Bologna, 40100 Bologna, Italy)

  • Roberta Calegari

    (Alma AI—Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum —Università di Bologna, 40100 Bologna, Italy)

  • Giuseppe Contissa

    (Alma AI—Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum —Università di Bologna, 40100 Bologna, Italy)

  • Francesca Lagioia

    (Alma AI—Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum —Università di Bologna, 40100 Bologna, Italy)

  • Giuseppe Pisano

    (Alma AI—Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum —Università di Bologna, 40100 Bologna, Italy)

  • Galileo Sartor

    (Computer Science Department, University of Torino, 10124 Torino, Italy)

  • Giovanni Sartor

    (Alma AI—Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum —Università di Bologna, 40100 Bologna, Italy)

Abstract

Different formalisms for defeasible reasoning have been used to represent knowledge and reason in the legal field. In this work, we provide an overview of the following logic-based approaches to defeasible reasoning: defeasible logic, Answer Set Programming, ABA+, ASPIC+, and DeLP. We compare features of these approaches under three perspectives: the logical model (knowledge representation), the method (computational mechanisms), and the technology (available software resources). On top of that, two real examples in the legal domain are designed and implemented in ASPIC+ to showcase the benefit of an argumentation approach in real-world domains. The CrossJustice and Interlex projects are taken as a testbed, and experiments are conducted with the Arg2P technology.

Suggested Citation

  • Marco Billi & Roberta Calegari & Giuseppe Contissa & Francesca Lagioia & Giuseppe Pisano & Galileo Sartor & Giovanni Sartor, 2021. "Argumentation and Defeasible Reasoning in the Law," J, MDPI, vol. 4(4), pages 1-18, December.
    • Handle: RePEc:gam:jjopen:v:4:y:2021:i:4:p:61-914:d:705862
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    Cited by:

    1. Ugo Pagallo & Massimo Durante, 2022. "The Good, the Bad, and the Invisible with Its Opportunity Costs: Introduction to the ‘J’ Special Issue on “the Impact of Artificial Intelligence on Law”," J, MDPI, vol. 5(1), pages 1-11, February.

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