@inproceedings{llano2016fish,
author={Llano, Maria Teresa and Guckelsberger, Christian and Hepworth, Rose and Gow, Jeremy, and Corneli, Joseph and Colton, Simon},
title={{W}hat {I}f {A} {F}ish {G}ot {D}runk? {E}xploring the {P}lausibility of {M}achine-{G}enerated {F}ictions},
editor={Cardoso, Amilcar and Pachet, Fran\c{c}ois and Corruble, Vincent and Ghedini, Fiammetta},
booktitle={Proceedings of the Seventh International Conference on Computational Creativity, ICCC 2016},
year={2016},
url={http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/paper_52.pdf},
abstract={Within the WHIM project, we study fictional ideation, i.e., 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.}
}