Automated Fictional Ideation via Knowledge Base Manipulation.
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.
Department of Computing, Goldsmiths, University of London, London, UK.
Maria Teresa
MT
Llano
Department of Computing, Goldsmiths, University of London, London, UK.
Simon
S
Colton
Department of Computing, Goldsmiths, University of London, London, UK.
Rose
R
Hepworth
Department of Computing, Goldsmiths, University of London, London, UK.
Jeremy
J
Gow
Computational creativity; Fictional ideation; Knowledge bases