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  • 标题:CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation
  • 作者:Julio C{\'e}sar Baham{\'o}n ; R. Michael Young
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2013
  • 卷号:32
  • 页码:4-23
  • DOI:10.4230/OASIcs.CMN.2013.4
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:Artificial Intelligence; Planning; Narrative Generation
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