no code implementations • 11 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.
no code implementations • 10 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.
no code implementations • 17 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.
no code implementations • 10 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.
no code implementations • 3 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.