U-Director

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Strong Points

U-DIRECTOR exploits recent advances in approximate Bayesian inference via stochastic sampling.

It is an emergent narrative approach that is directed by storytelling means.

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.