Automated Fictional Ideation via Knowledge Base Manipulation

Llano, Maria Teresa; Colton, Simon; Hepworth, Rose and Gow, Jeremy. 2016. Automated Fictional Ideation via Knowledge Base Manipulation. Cognitive Computation, 8(2), pp. 153-174. ISSN 1866-9956 [Article]

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Abstract or Description

The invention of fictional ideas (ideation) is often a central process in the creative production of artefacts such as poems, music and paintings, but has barely been studied in the computational creativity community. We present here a general approach to automated fictional ideation that works by manipulating facts specified in knowledge bases. More specifically, we specify a number of constructions which, by altering and combining facts from a knowledge base, result in the generation of fictions. Moreover, we present an instantiation of these constructions through the use of ConceptNet, a database of common sense knowledge. In order to evaluate the success of these constructions, we present a curation analysis that calculates the proportion of ideas which pass a typicality judgement. We further evaluate the output of this approach through a crowd-sourcing experiment in which participants were asked to rank ideas. We found a positive correlation between the participant’s rankings and a chaining inference technique that automatically assesses the value of the fictions generated through our approach. We believe that these results show that this approach constitutes a firm basis for automated fictional ideation with evaluative capacity.

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Fictional ideation, Computational creativity, Knowledge bases

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7 November 2015Accepted
11 January 2016Published Online
April 2016Published

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Date Deposited:

22 Mar 2016 09:08

Last Modified:

14 Apr 2021 15:15

Peer Reviewed:

Yes, this version has been peer-reviewed.


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