International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Explanation and Problem Solving, August 29, 1993, Chambery, France
This position paper argues that causal explanation in diagnostic tasks are more easily achieved in fault-based or failure-driven reasoning versus model-based reasoning. Fault-based or failure-driven diagnosis is more of a contextual task and can more easily be used to support user interaction through explanation than model-based diagnosis. A problem with fault-based reasoning that is often cited is the difficulty in reasoning about novel faults. In response to this key problem researchers in diagnostic systems are examining model-based reasoning. The latter approach is computationally expensive and in an effort to make it more efficient it is sometimes combined with fault-based reasoning techniques. The paper elaborates on explanations in RATIONALE and reasoning in JETA, both fault-based diagnostic systems. It also describes model-based diagnosis. Some of the issues and approaches needed to achieve causal explanation in model-based reasoning by integrating it with fault-based reasoning conclude the paper.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Explanation and Problem Solving.