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A System for Defeasible Argumentation, with Defeasible Priorities

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Artificial Intelligence Today

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1600))

Abstract

Inspired by legal reasoning, this paper presents an argument-based system for defeasible reasoning, with a logic-programming-like language, and based on Dung’s argumentation-theoretic approach to the semantics of logic programming. The language of the system has both weak and explicit negation, and conflicts between arguments are decided with the help of priorities on the rules. These priorities are not fixed, but are themselves defeasibly derived as conclusions within the system.

Henry Prakken was supported by a research fellowship of the Royal Netherlands Academy of Arts and Sciences, and by Esprit WG 8319 ‘Modelage’. The authors wish to thank Mark Ryan for his comments on an earlier version of this paper.

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Author information

Authors and Affiliations

  1. Computer/Law Institute, Free University, De Boelelaan, 1105, Amsterdam

    Henry Prakken

  2. CIRFID, University of Bologna, Via Galliera 3, 40121, Bologna

    Giovanni Sartor

  3. IDG-CNR, Via Panchiatichi 56/16, Firenze

    Giovanni Sartor

Authors
  1. Henry Prakken
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  2. Giovanni Sartor
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, Queen Mary and Westfield College, University of London, London, E1 4NS, UK

    Michael J. Wooldridge

  2. Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Manuela Veloso

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© 1999 Springer-Verlag Berlin Heidelberg

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Prakken, H., Sartor, G. (1999). A System for Defeasible Argumentation, with Defeasible Priorities. In: Wooldridge, M.J., Veloso, M. (eds) Artificial Intelligence Today. Lecture Notes in Computer Science(), vol 1600. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48317-9_15

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  • DOI: https://doi.org/10.1007/3-540-48317-9_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66428-4

  • Online ISBN: 978-3-540-48317-5

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