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What If A Fish Got Drunk? Exploring the Plausibility of Machine-Generated Fictions

Llano, Maria Teresa; Guckelsberger, Christian; Hepworth, Rose; Gow, Jeremy; Corneli, Joseph and Colton, Simon. 2016. 'What If A Fish Got Drunk? Exploring the Plausibility of Machine-Generated Fictions'. In: Proc. 7th Int. Conf. Computational Creativity. Paris, France. [Conference or Workshop Item]

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Abstract or Description

Within the WHIM project, we study fictional ideation: processes for automatically inventing, assessing and presenting fictional ideas. Here we examine the foundational notion of the plausibility of fictional ideas, by performing an empirical study to surface the factors that affect judgements of plausibility. Our long term aim is to formalise a computational method which captures some intuitive notions of plausibility and can predict how certain types of people will assess the plausibility of certain types of fictional ideas. This paper constitutes a first firm step towards this aim.

Item Type:

Conference or Workshop Item (Talk)

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2016Published

Event Location:

Paris, France

Item ID:

21748

Date Deposited:

17 Nov 2017 15:07

Last Modified:

14 Jul 2018 05:05

URI:

http://research.gold.ac.uk/id/eprint/21748

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