Automated Fictional Ideation via Knowledge Base Manipulation

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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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Official URL: http://link.springer.com/article/10.1007%2Fs12559-...

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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Article

Identification Number (DOI):

https://doi.org/10.1007/s12559-015-9366-4