Conference proceeding
Story representation in analogy-based story generation in Riu
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, pp 435-442
Aug 2010
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.
Metrics
6 Record Views
11 citations in Scopus
Details
- Title
- Story representation in analogy-based story generation in Riu
- Creators
- Jichen Zhu - Dept. of Digital Media, Univ. of Central Florida, Orlando, FL, USASantiago Ontañón - Artificial Intelligence Research Institute
- Publication Details
- Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, pp 435-442
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-80051931195
- Other Identifier
- 991021869014104721