Abstract
The present paper identifies an important narrative framework that has not yet been employed to implement computational story telling systems. Grounded in this theory, it suggests to use a BDI architecture extended with a personality-based affective appraisal component to model fictional characters. A proof of concept is shown to be capable of generating the plot of a folk tale. This example is used to explore the system’s parameters and the plot-space that is spanned by them.
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Notes
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The exploration was performed by hand because the parameter space is fairly small: 4 characters with 4 relevant 3-valued personality traits. However, nothing precludes an automatic approach to generate all permutations for a bigger use case.
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Acknowledgements
The author is grateful for support for this work provided by an Alexander von Humboldt Ph.D. fellowship funded by an Anneliese Maier-Forschungspreis awarded to Mark Turner.
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Berov, L. (2017). Steering Plot Through Personality and Affect: An Extended BDI Model of Fictional Characters. In: Kern-Isberner, G., Fürnkranz, J., Thimm, M. (eds) KI 2017: Advances in Artificial Intelligence. KI 2017. Lecture Notes in Computer Science(), vol 10505. Springer, Cham. https://doi.org/10.1007/978-3-319-67190-1_23
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