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Story Representation In Analogy-Based Story Generation In Riu
Authors
Santiago Ontanon
Jichen Zhu
Publication date
1 December 2010
Publisher
'Information Bulletin on Variable Stars (IBVS)'
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
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Last time updated on 18/10/2022