Tension Space Analysis for Emergent Narrative
April 22, 2020 Β· Declared Dead Β· π IEEE Transactions on Games
"No code URL or promise found in abstract"
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Authors
Ben Kybartas, Clark Verbrugge, Jonathan Lessard
arXiv ID
2004.10808
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MA,
cs.MM
Citations
11
Venue
IEEE Transactions on Games
Last Checked
4 months ago
Abstract
Emergent narratives provide a unique and compelling approach to interactive storytelling through simulation, and have applications in games, narrative generation, and virtual agents. However the inherent complexity of simulation makes understanding the expressive potential of emergent narratives difficult, particularly at the design phase of development. In this paper, we present a novel approach to emergent narrative using the narratological theory of possible worlds and demonstrate how the design of works in such a system can be understood through a formal means of analysis inspired by expressive range analysis. Lastly, we propose a novel way through which content may be authored for the emergent narrative system using a sketch-based interface.
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