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All Outputs (7)

Reconsidering RepStat Rules in Dialectical Games (2022)
Conference Proceeding
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)

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 fo... Read More about Reconsidering RepStat Rules in Dialectical Games.

Towards a Declarative Approach to Constructing Dialogue Games (2021)
Conference Proceeding
Snaith, M., & Wells, S. (2021). Towards a Declarative Approach to Constructing Dialogue Games. In Proceedings of the 21st Workshop on Computational Models of Natural Argument (9-18)

In this paper we sketch a new approach to the development of dialogue games that builds upon the knowledge gained from several decades of dialogue game research across a variety of communities and which leverages the capabilities of the Dialogue Game... Read More about Towards a Declarative Approach to Constructing Dialogue Games.

Automatically Detecting Fallacies in System Safety Arguments (2016)
Conference Proceeding
Yuan, T., Manandhar, S., Kelly, T., & Wells, S. (2016). Automatically Detecting Fallacies in System Safety Arguments. In Principles and Practice of Multi-Agent Systems (47-59). https://doi.org/10.1007/978-3-319-46218-9_4

Safety cases play a significant role in the development of safety-critical systems. The key components in a safety case are safety arguments, that are designated to demonstrate that the system is acceptably safe. Inappropriate reasoning with safety a... Read More about Automatically Detecting Fallacies in System Safety Arguments.

Large-scale Argument Visualization (LSAV) (2016)
Conference Proceeding
Khartabil, D., Wells, S., & Kennedy, J. (2016). Large-scale Argument Visualization (LSAV). In Eurographics Conference on Visualization (EuroVis), Posters Track (2016)

Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument structures can become large and complex. Visualization tools have been dev... Read More about Large-scale Argument Visualization (LSAV).

Argument Mining: Was Ist Das? (2014)
Conference Proceeding
Wells, S. (2014). Argument Mining: Was Ist Das?.

Argument Mining has become an increasingly popular term over the last few years but it is unclear to what exactly the term refers. It definitely refers to an area of endeavour within argumentation theory and within computational argumentation and... Read More about Argument Mining: Was Ist Das?.

Using Code Generation to Build a Platform for Developing and Testing Dialogue Games. (2014)
Conference Proceeding
Yuan, T., Manandhar, S., & Wells, S. (2014). Using Code Generation to Build a Platform for Developing and Testing Dialogue Games.

Despite increasing research into their use as a vehicle for Human- Computer Dialogue and Inter-Agent Communication, Dialogue Games have not seen good uptake in industry. One of the reasons for this is the lack of methodologies and tooling for the... Read More about Using Code Generation to Build a Platform for Developing and Testing Dialogue Games..