THESPIAN: An Architecture for Interactive Pedagogical Drama
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
An empirical study of cognition and theatrical improvisation
Proceedings of the seventh ACM conference on Creativity and cognition
Digital improvisational theatre: party quirks
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
Shared mental models in improvisational theatre
C&C '11 Proceedings of the 8th ACM conference on Creativity and cognition
Back-Leading through character status in interactive storytelling
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
A knowledge-based framework for the collaborative improvisation of scene introductions
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
A computational model for finding the tilt in an improvised scene
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
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This paper proposes a formal approach of constructing shared mental models between computational improvisational agents (improv agents) and human interactors based on our socio-cognitive studies of human improvisers. Creating shared mental models helps improv agents co-create stories with each other and interactors in real-time interactive narrative experiences. The approach described here allows flexible modeling of non-Boolean (i.e. fuzzy) knowledge about scene and background concepts through the use of fuzzy rules and confidence factors in order to allow reasoning under uncertainty. It also allows improv agents to infer new knowledge about a scene from existing knowledge, recognize when new knowledge may be divergent from the other actor's mental model, and attempt to resolve this divergence to reach cognitive consensus despite the absence of explicit goals in the story environment.