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

Lllano, Teresa, Guckelsberger, Christian, Hepworth, Rose, Gow, Jeremy, Corneli, Joe and Colton, Simon (2016) What If A Fish Got Drunk? Exploring the Plausibility of Machine-Generated Fictions. In: Proceedings of the Seventh International Conference on Computational Creativity, 27 June - 01 July 2016, France.

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Abstract / Summary

Within the WHIM project, we study fictional ideation: pro- cesses 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 plau- sibility. Our long term aim is to formalise a computational method which captures some intuitive notions of plausibil- ity 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 (Paper)
Subjects:	Computer Science, Information & General Works
Courses by Department:	The Games Academy > Digital Games
Depositing User:	Simon Colton
Date Deposited:	23 Jun 2017 13:44
Last Modified:	23 Nov 2023 13:45
URI:	https://falmouth-test.eprints-hosting.org/id/eprint/2566

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