Title
Towards Analogy-Based Story Generation
Abstract
Narrative is one of the oldest creative forms, capable of depicting a wide spectrum of human conditions. However, many existing stories generated by planning-based computational narrative systems are confined to the goal-driven, problem-solving aesthetics. This paper focuses on analogy-based story generation. Informed by narratology and computational analogy, we present an analytical framework to survey this area in order to identify trends and areas that have not received sufficient attention. Finally, we introduce the new developments of the Riu project as a case study for possible new narrative aesthetics supported by analogy.
Publication Date
12-1-2010
Publication Title
Proceedings of the International Conference on Computational Creativity, ICCC-10
Number of Pages
75-84
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84866022452 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84866022452
STARS Citation
Zhu, Jichen and Ontañón, Santiago, "Towards Analogy-Based Story Generation" (2010). Scopus Export 2010-2014. 553.
https://stars.library.ucf.edu/scopus2010/553