Search Results for author: Alison Pease

Found 5 papers, 0 papers with code

Explainable Computational Creativity

no code implementations11 May 2022 Maria Teresa Llano, Mark d'Inverno, Matthew Yee-King, Jon McCormack, Alon Ilsar, Alison Pease, Simon Colton

Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little) intervention from the user, and without any discussion about how the unfolding decisions are taking place.

Is Two Better than One? Effects of Multiple Agents on User Persuasion

no code implementations10 Apr 2019 Reshmashree B. Kantharaju, Dominic De Franco, Alison Pease, Catherine Pelachaud

In this paper, we present an evaluation study focused on understanding the effects of multiple agents on user's persuasion.

Argumentation theory for mathematical argument

no code implementations17 Mar 2018 Joseph Corneli, Ursula Martin, Dave Murray-Rust, Gabriela Rino Nesin, Alison Pease

To adequately model mathematical arguments the analyst must be able to represent the mathematical objects under discussion and the relationships between them, as well as inferences drawn about these objects and relationships as the discourse unfolds.

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Automating change of representation for proofs in discrete mathematics

no code implementations10 May 2015 Daniel Raggi, Alan Bundy, Gudmund Grov, Alison Pease

We give a brief overview of a general theory of transformations that we consider appropriate for thinking about the matter, and we explain how it relates to the Transfer package.

Modelling serendipity in a computational context

no code implementations3 Nov 2014 Joseph Corneli, Anna Jordanous, Christian Guckelsberger, Alison Pease, Simon Colton

We conclude that it is feasible to equip computational systems with the potential for serendipity, and that this could be beneficial in varied computational creativity/AI applications, particularly those designed to operate responsively in real-world contexts.

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