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

Maria Teresa Llano, Christian Guckelsberger, Rose Hepworth, Jeremy Gow, Joseph Corneli, Simon Colton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Seventh International Conference on Computational Creativity
Pages213-221
Number of pages9
Publication statusPublished - 1 Jun 2016
EventSeventh International Conference on Computational Creativity - Paris, France
Duration: 27 Jun 20161 Jul 2016
http://www.computationalcreativity.net/iccc2016/

Conference

ConferenceSeventh International Conference on Computational Creativity
Abbreviated titleICCC 2016
CountryFrance
CityParis
Period27/06/161/07/16
Internet address

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