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Reconsidering RepStat rules in dialectic games.

Wells, Simon; Snaith, Mark


Simon Wells


Floriana Grasso

Nancy L. Green

Simon Wells

Jodi Schneider


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.


WELLS, S. and SNAITH, M. 2022. Reconsidering RepStat rules in dialectical games. In Grasso, F., Green, N.L., Schneider, J. and Wells, S. (eds.) Proceedings of the 22nd Workshop on computational models of natural argument (CMNA 2022), 12 September 2022, Cardiff, UK. CEUR workshop proceedings, 3205. Aachen: CEUR-WS [online], pages 18-28. Available from:

Conference Name 22nd Workshop on computational models of natural argument (CMNA 2022)
Conference Location Cardiff, UK
Start Date Sep 12, 2022
Acceptance Date Sep 5, 2022
Online Publication Date Sep 7, 2022
Publication Date Sep 7, 2022
Deposit Date Oct 6, 2022
Publicly Available Date Oct 6, 2022
Publisher CEUR Workshop Proceedings
Pages 18-28
Series Title CEUR workshop proceedings
Series Number 3205
Series ISSN 1613-0073
Keywords Human behaviour; Machine behaviour; Dialectical games; Argumentation-based dialogue; RepStat rules; Repetition
Public URL
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