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Steering Plot Through Personality and Affect: An Extended BDI Model of Fictional Characters

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KI 2017: Advances in Artificial Intelligence (KI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10505))

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

  1. 1.

    http://www.home.uni-osnabrueck.de/leberov/little_red_hen.htm.

  2. 2.

    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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Authors and Affiliations

  1. University of Osnabrück, 49078, Osnabrück, Germany

    Leonid Berov

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  1. Leonid Berov
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Correspondence to Leonid Berov .

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Editors and Affiliations

  1. Fakultät für Informatik, Technische Universität Dortmund, Dortmund, Germany

    Gabriele Kern-Isberner

  2. FB Informatik, TU Darmstadt, Darmstadt, Hessen, Germany

    Johannes Fürnkranz

  3. FB Informatik, Universität Koblenz, Koblenz, Rheinland-Pfalz, Germany

    Matthias Thimm

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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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  • DOI: https://doi.org/10.1007/978-3-319-67190-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67189-5

  • Online ISBN: 978-3-319-67190-1

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