A knowledge representation for planning-based story generation applied to the manual and automatic encoding of plot

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Abstract

There have been a range of coding schemes to code story structure. However, few of these coding schemes map directly to expressive formal models of story that also characterize character beliefs or the complexities that arise when mistaken beliefs lead to action failure. We describe HeadCode, a coding scheme motivated by recent work in plan-based story generation.

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Sanghrajka, R., & Young, R. M. (2019). A knowledge representation for planning-based story generation applied to the manual and automatic encoding of plot. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11869 LNCS, pp. 318–322). Springer. https://doi.org/10.1007/978-3-030-33894-7_31

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