The Skeptic’s Argumentation Game or: Well-Founded Explanations for Mere Mortals

Shawn Bowers, Yilin Xia, Bertram Ludäscher

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose a new discussion game for abstract argumentation frameworks (AFs), related to, but different from other dialectical proof procedures and discussion games: the Skeptic’s Argumentation Game (SAG). Unlike in other AF games, Player I (the Skeptic) aims to establish that an argument x is defeated, while Player II (the Optimist) tries to prove the opponent wrong, i.e., that x is accepted. If neither player has a winning strategy, the position is a draw and x’s status is undecided. This “reversal of roles” (compared to the usual Proponent vs Opponent dialogue games about the acceptance status of an argument) might appear strange at first, but has a number of important, fruitful consequences. Since SAG corresponds exactly to (i) the grounded labeling semantics of AFs, and (ii) the standard semantics of “win-move” (WM) games for normal play on finite graphs, a rich body of research and results can be transferred directly to grounded AF labelings. In this paper we show one such result transfer: The value (WON/LOST/DRAWN) of a position x in a solved WM game can be fully explained by the provenance of x, i.e., a subgraph definable by a regular expression. Consequently, via SAG, we can provide a detailed, well-founded explanation for the acceptance status (value) of an argument. We also exploit well-founded explanations for visualization to expose the structural dependencies inherent in an AF under the grounded semantics.

Original languageEnglish (US)
Pages (from-to)104-118
Number of pages15
JournalCEUR Workshop Proceedings
Volume3757
StatePublished - 2024
Event5th International Workshop on Systems and Algorithms for Formal Argumentation, SAFA 2024 - Hagen, Germany
Duration: Sep 17 2024 → …

Keywords

  • Argumentation frameworks
  • discussion games
  • game theory
  • provenance

ASJC Scopus subject areas

  • General Computer Science

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