Storytelling Variants: The Case of Little Red Riding Hood

Lima, Edirlei Soares de; Furtado, Antônio L.; Feijó, Bruno

doi:10.1007/978-3-319-24589-8_22

Cited by 9 publications

(1 citation statement)

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“…In the figure, we skipped the forest traversal, as the only relevant variable for the endings is if Little Red encountered or not the Hunter (which effect is explained later). Little Red Riding Hood is a story that has received a number of variations, as discussed by de Lima et al (2015), being the first classic one Le Petit Chaperon Rouge written by Perrault (1991). In this variant, regarding the Wolf's motives to not eat Little Red during their first meeting, the author mentions that the Wolf "... would have very much liked to eat her, but dared not do so on account of some woodcutters who were in the forest" ("her" refers to Little Red).…”

Section: Resultsmentioning

confidence: 99%

Simulated Perceptions for Emergent Storytelling

Carvalho

Clua

Pozzer

et al. 2016

Computational Intelligence

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Automated story generation is a desired feature in games and interactive media because it can control how a virtual world evolves so that it can be adapted to the players' choices. In order to have variety and quality in the generated stories, previous works have relied on simulation-based storytelling, in which a story is generated as their characters, represented as agents, try to achieve their goals. One challenge of this approach is to make the agents act more like human characters and less like omniscient intelligent beings. In this article, we present a perception model for simulation-based story generation that introduces errors into characters' knowledge, (mis)leading them to nonoptimal, but still coherent, believable actions. The perception is executed using a description of the virtual world's elements using physical characteristics, and a pattern matching process that associates combinations of physical characteristics with predefined combinations of attributes, which are allowed to be wrong, and consequently may result in non-perfect interpretations of the world. We developed a story generation system from the proposed model and tested it with a version of the Little Red Riding Hood story, famous for its perception failure. Our results show interesting variations for the traditional known ending.

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Section: Resultsmentioning

confidence: 99%