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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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 7th International Conference on Computational Creativity, ICCC 2016
PublisherComputational Creativity Society
Pages213-220
Number of pages8
ISBN (Electronic)9782746691551
Publication statusPublished - 2016
MoE publication typeA4 Conference publication
EventInternational Conference on Computational Creativity - Paris, France
Duration: 27 Jun 20161 Jul 2016
Conference number: 7

Conference

ConferenceInternational Conference on Computational Creativity
Abbreviated titleICCC
Country/TerritoryFrance
CityParis
Period27/06/201601/07/2016

Fingerprint

Dive into the research topics of 'What if a fish got drunk? Exploring the plausibility of machine-generated fictions'. Together they form a unique fingerprint.

Cite this