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CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation

Authors Julio César Bahamón, R. Michael Young



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OASIcs.CMN.2013.4.pdf
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Julio César Bahamón
R. Michael Young

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Julio César Bahamón and R. Michael Young. CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation. In 2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, pp. 4-23, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/OASIcs.CMN.2013.4

Abstract

The quality and believability of a story can be significantly enhanced by the presence of compelling characters. Characters can be made more compelling by the portrayal of a distinguishable personality. This paper presents an algorithm that formalizes an approach previously described for the incorporation of character personality in narrative that is automatically generated. The approach is based on a computational model that operationalizes personality as behavior that results from the choices made by characters in the course of a story. This operationalization is based on the Big Five personality structure and results from behavioral psychology studies that link behavior to personality traits.
Keywords
  • Artificial Intelligence
  • Planning
  • Narrative Generation

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