Title
Story Representation In Analogy-Based Story Generation In Riu
Abstract
Computational analogy offers a promising direction to algorithmically generating stories, a key challenge in computational narrative. Since analogy methods are very sensitive to the story representation being used, this paper focuses on story representation for analogy-based story generation. Specifically, we analyze existing story representation formalisms and propose a new approach based on the cognitive semantics theory of force dynamics. Finally, we present the results of our analogy-based interactive narrative system, Riu, to illustrate the utility of our proposal. © 2010 IEEE.
Publication Date
12-1-2010
Publication Title
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG2010
Number of Pages
435-442
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ITW.2010.5593324
Copyright Status
Unknown
Socpus ID
80051931195 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/80051931195
STARS Citation
Zhu, Jichen and Ontanon, Santiago, "Story Representation In Analogy-Based Story Generation In Riu" (2010). Scopus Export 2010-2014. 517.
https://stars.library.ucf.edu/scopus2010/517