A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition
arXiv:1303.5711
Abstract
Useless paths are a chronic problem for marker-passing techniques. We use a probabilistic analysis to justify a method for quickly identifying and rejecting useless paths. Using the same analysis, we identify key conditions and assumptions necessary for marker-passing to perform well.
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)