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Paul R. Cohen, Lisa A. Ballesteros, Dawn E. Gregory, and Robert St. Amant. Regression can build predictive causal models. Technical Report 94-15, Dept. of Computer Science, University of Massachusetts/Amherst., 1994.

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C. Glymour, R. Scheines, P. Spirtes, and K. Kelly. Discovering Causal Structure. Academic Press, 1987.

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Adele E. Howe. Analyzing failure recovery to improve planner design. In Proceedings of the Tenth National Conference on Artificial Intelligence, pages 387-393, July 1992.

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Adele E. Howe and Paul R. Cohen. Detecting and explaining dependencies in execution traces. In P. Cheeseman and R.W. Oldford, editors, Selecting Models from Data; Artificial Intelligence and Statistics IV, volume 89 of Lecture Notes in Statistics, chapter 8, pages 71-78. Springer-Verlag, NY,NY, 1994.

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Tim Oates, Dawn Gregory, and Paul R. Cohen. Detecting complex dependencies in categorical data. In Preliminary Papers of the Fifthe International Workshop on Artificial Intelligence and Statistics, January 1995.

8

Judea Pearl and T. S. Verma. A theory of inferred causation. In J.A. Allen, R. Fikes, and E. Sandewall, editors, Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference, pages 441-452, San Mateo, CA, April 1991. Morgan Kaufmann.