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        <datestamp>2024-03-06T10:29:16Z</datestamp>
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          <dc:title>CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation</dc:title>
          <dc:creator>Bahamón, Julio César</dc:creator>
          <dc:creator>Young, R. Michael</dc:creator>
          <dc:subject>Artificial Intelligence</dc:subject>
          <dc:subject>Planning</dc:subject>
          <dc:subject>Narrative Generation</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Julio César Bahamón and R. Michael Young</dc:contributor>
          <dc:date>2013</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 32, 2013 Workshop on Computational Models of Narrative</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.CMN.2013.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-41601</dc:identifier>
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          <dc:language>eng</dc:language>
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