U-Director

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Limitations

Results of the study indicate that the clustering algorithm’s running time has the greatest variability and may not satisfy the performance requirements of interactive narrative.

Main Publications

• Mott, B. W. and Lester, J. C. (2006). U-director: a decision-theoretic narrative planning architecture for storytelling environments. In Proceedings of the Fifth international Joint Conference on Autonomous Agents and Multiagent Systems (Hakodate, Japan, May 08 - 12, 2006). AAMAS '06. ACM, New York, NY, 977-984. [1]

• Dean, T. and Kanazawa, K. (1989). A model for reasoning about persistence and causation. Computational Intelligence, 5(3), 142-150. [2]

Supporting Narrative Theories

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Computational Model

Bayesian networks.