Interactive Narrative Generation

Story element drop points. Mark insertion points of various story elements into the story component. -- ONG, TeongJoo and LEGGETT, John J., 2004. A genetic algorithm approach to interactive narrative generation. In: Proceedings of the fifteenth ACM conference on Hypertext and hypermedia. Online. New York, NY, USA: Association for Computing Machinery. 9 August 2004. p. 181–182. [Accessed 20 December 2022]. HYPERTEXT ’04. ISBN 978-1-58113-848-1. DOI 10.1145/1012807.1012856.

We discuss the design of the Hybrid Evolutionary-Fuzzy Time-based Interactive (HEFTI) storytelling engine. HEFTI uses genetic algorithms at its core to recombine and evaluate story components generated from a set of story templates. The system allows authors to rely on HEFTI to perform recombination, mutation and selection operations that generate logically congruent variants of the original story via traversal, generation and deletion of (links in) the story elements.

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