To let authors shape the set of experiences that can occur when a generative Interactive Storytelling (IS) system is used, the process of authoring for the system must support specifying constraints over how different stories can progress. We present an extension to an existing IS system that both allows authors more flexibility in specifying the constraints and gives the generator more freedom in filling in the parts of the story that the authors leave unconstrained. Our approach is based on open-world planning using the IndiGolog action programming language and heuristic search for plan generation.
CITATION STYLE
Thue, D., Schiffel, S., Guðmundsson, T. Þ., Kristjánsson, G. F., Eiríksson, K., & Björnsson, M. V. (2017). Open World Story Generation for Increased Expressive Range. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10690 LNCS, pp. 313–316). Springer Verlag. https://doi.org/10.1007/978-3-319-71027-3_33
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