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When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2013.214
URN: urn:nbn:de:0030-drops-41414
URL: http://drops.dagstuhl.de/opus/volltexte/2013/4141/
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Saillenfest, Antoine ; Dessalles, Jean-Louis

Using Unexpected Simplicity to Control Moral Judgments and Interest in Narratives

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Abstract

The challenge of narrative automatic generation is to produce not only coherent, but interesting stories. This study considers the problem within the Simplicity Theory framework. According to this theory, interesting situations must be unexpectedly simple, either because they should have required complex circumstances to be produced, or because they are abnormally simple, as in coincidences. Here we consider the special case of narratives in which characters perform actions with emotional consequences. We show, using the simplicity framework, how notions such as intentions, believability, responsibility and moral judgments are linked to narrative interest.

BibTeX - Entry

@InProceedings{saillenfest_et_al:OASIcs:2013:4141,
  author =	{Antoine Saillenfest and Jean-Louis Dessalles},
  title =	{{Using Unexpected Simplicity to Control Moral Judgments and Interest in Narratives}},
  booktitle =	{2013 Workshop on Computational Models of Narrative},
  pages =	{214--227},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-57-6},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{32},
  editor =	{Mark A. Finlayson and Bernhard Fisseni and Benedikt L{\"o}we and Jan Christoph Meister},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4141},
  URN =		{urn:nbn:de:0030-drops-41414},
  doi =		{10.4230/OASIcs.CMN.2013.214},
  annote =	{Keywords: Narratives, Kolmogorov Complexity, Interest, Moral Judgment, Intention, Responsibility}
}

Keywords: Narratives, Kolmogorov Complexity, Interest, Moral Judgment, Intention, Responsibility
Seminar: 2013 Workshop on Computational Models of Narrative
Issue Date: 2013
Date of publication: 18.07.2013


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