On The Role of Dialogue Models in the Age of Large Language Models
(2024)
Presentation / Conference Contribution
Wells, S., & Snaith, M. (2023, December). On The Role of Dialogue Models in the Age of Large Language Models. Presented at CMNA 2023: Computational Models of Natural Argument 2023, Online
Outputs (7)
Reconsidering RepStat Rules in Dialectical Games (2022)
Presentation / Conference Contribution
Wells, S., & Snaith, M. (2022, September). Reconsidering RepStat Rules in Dialectical Games. Presented at 22nd Workshop on Computational Models of Natural Argument, Cardiff, WalesProhibition 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)
Presentation / Conference Contribution
Snaith, M., & Wells, S. (2021, September). Towards a Declarative Approach to Constructing Dialogue Games. Presented at CMNA’21: Workshop on Computational Models of Natural Argument, OnlineIn 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.
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems (2018)
Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., Payne, T., Perret, C., Pitt, J., Powers, S. T., Urquhart, N., & Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha... Read More about Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.
Using argumentation within sustainable transport communication (2016)
Book Chapter
Wells, S., & Pangbourne, K. (2016). Using argumentation within sustainable transport communication. In Argumentation and Reasoned Action Volume 1 (781-801). College PublicationsIn this paper we present the preliminary results of a survey of persuasive communication within the sustainable transport domain. This survey is underpinned by a reconstruction of the arguments used, a scheme oriented analysis of the corpus of recon... Read More about Using argumentation within sustainable transport communication.
Large-scale Argument Visualization (LSAV) (2016)
Presentation / Conference Contribution
Khartabil, D., Wells, S., & Kennedy, J. (2016, June). Large-scale Argument Visualization (LSAV). Presented at 18th EG/VGTC Conference on VisualizationArguments 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).
Demo paper: AGADE - Scalability of ontology based agent simulations (2016)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016, June). Demo paper: AGADE - Scalability of ontology based agent simulations. Presented at 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, Sevilla, SpainSimulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitations both in the aspect of
memory and computing power are reached. Even... Read More about Demo paper: AGADE - Scalability of ontology based agent simulations.