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Título : Story representation in analogy-based story generation in Riu
Autor : Zhu, Jichen, Ontañón, Santiago
Fecha de publicación : Aug-2010
Editor: Institute of Electrical and Electronics Engineers
Resumen: 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.
Descripción : 8 páginas, 6 figuras.-- Trabajo presentado al Symposium on Computational Intelligence and Games celebrado en Dinamarca del 18 al 21 de agosto de 2010.
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ISBN : 978-1-4244-6295-7
DOI: 10.1109/ITW.2010.5593324
Citación : CIG 2010
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