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NMR 2023

On the Conditional Preference-based Argumentation Framework

Conference Paper Extended Abstracts Artificial Intelligence ยท Knowledge Representation ยท Logic in Computer Science

Abstract

Dungโ€™s abstract Argumentation Framework (AF) has emerged as a central formalism in the area of knowledge representation and reasoning. Preferences in AF allow to represent the comparative strength of arguments in a simple yet expressive way. Preference-based AF (PAF) has been proposed to extend AF with preferences of the form ๐‘Ž > ๐‘, whose intuitive meaning is that argument ๐‘Ž is better than ๐‘. In this paper we discuss the recently proposed Conditional Preference-based Argumentation Framework (CPAF) [1] that extends PAF by introducing conditional preferences of the form ๐‘Ž > ๐‘ โ† ๐‘๐‘œ๐‘‘๐‘ฆ informally stating that ๐‘Ž is better than ๐‘ whenever the condition expressed by ๐‘๐‘œ๐‘‘๐‘ฆ is true. We discuss CPAF properties and complexity results of the well-known verification and acceptance problems under multiple-status argumentation semantics.

Authors

Keywords

  • Abstract Argumentation
  • Conditional Preferences
  • Computational Complexity

Context

Venue
International Workshop on Non-Monotonic Reasoning
Archive span
1984-2025
Indexed papers
227
Paper id
975606533617840867