Abstract
My project aims at conceptualizing and implementing a computational storytelling system that derives creativity from an iterative cycle of simulation-based engagement and constraint-modifying reflection. It approaches this problem by first developing a computational model of stories that is grounded in narratological research, more specifically in mimetic, post-structuralist approaches centered around fictional characters. In the second stage, this narratological grounding will allow to measure and reason about the quality of a modeled story based on a formal notion called tellability. In the last stage, the parameter space that is set up by this representation can be explored in search for tellable stories, which are hypothesized to be of higher quality. Currently, the project is in the second stage.
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Notes
- 1.
Happenings are events that have patients but no agents, e.g. accidentental encounters or natural disasters. They are contrasted by actions: goal-directed events which necessarily have an agent [13].
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Acknowledgements
The author is grateful for support for this work provided by an Alexander von Humboldt Ph.D. fellowship.
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Berov, L. (2018). A Character Focused Iterative Simulation Approach to Computational Storytelling. In: Rouse, R., Koenitz, H., Haahr, M. (eds) Interactive Storytelling. ICIDS 2018. Lecture Notes in Computer Science(), vol 11318. Springer, Cham. https://doi.org/10.1007/978-3-030-04028-4_58
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