Reconsidering RepStat Rules in Dialectical Games

Wells, Simon; Snaith, Mark

Abstract

Prohibition of repeated statements has benefits for the tractability and predictability of dialogues carried out by machines, but doesn’t match the real world behaviour of people. This gap between human and machine behaviour leads to problems when formal dialectical systems are applied in conversational AI contexts. However, the problem of handling statement repetition gives insight into wider issues that stem partly from the historical focus on formal dialectics to the near exclusion of descriptive dialectics.
In this paper we consider the problem of balancing the needs of machines versus those of human participants through the consideration of both descriptive and formal dialectics integrated within a single overarching dialectical system. We describe how this approach can be supported through minimal extension of the Dialogue Game Description Language.

Citation

Wells, S., & Snaith, M. (2022). Reconsidering RepStat Rules in Dialectical Games. In F. Grasso, N. L. Green, J. Schneider, & S. Wells (Eds.), Proceedings of the 22nd Workshop on Computational Models of Natural Argument (CMNA 2022), Cardiff, Wales, September 12, 2022 (18-28)

• Conference Name: 22nd Workshop on Computational Models of Natural Argument
• Conference Location: Cardiff, Wales
• Start Date: Sep 12, 2022
• End Date: Sep 12, 2022
• Acceptance Date: Aug 15, 2022
• Online Publication Date: Sep 7, 2022
• Publication Date: Sep 7, 2022
• Deposit Date: May 2, 2023
• Publicly Available Date: May 3, 2023
• Publisher: CEUR Workshop Proceedings
• Volume: 3205
• Pages: 18-28
• Series Title: CEUR Proceedings
• Series ISSN: 1613-0073
• Book Title: Proceedings of the 22nd Workshop on Computational Models of Natural Argument (CMNA 2022), Cardiff, Wales, September 12, 2022.
• Chapter Number: 3
• Keywords: Argumentation, AI, Dialogue
• Publisher URL: https://ceur-ws.org/Vol-3205/