Figure 4 shows part of a class hierarchy for the many variables which represent distances. Our aim is to develop a coherent framework that incorporates both planning and diagnosis. Our framework for temporal projection is implemented, and has been pretty well tested for the axiomatization of Section 4. A Probabilistic Approach to Language Understanding . PhD thesis, Department of Computer Science, Brown University, 1990.
Frames contain slots for structured text that can be organized at different semantic levels.
R.P. Goldman, A Probabilistic Approach to Language Understanding , Ph.D. Thesis, Brown University, 1990. In the domain of plan recognition, we have tested Accel on 50 short narrative texts. Robert P. Goldman. A Probabilistic Approach to Language Understanding . PhD thesis, Department of Computer Science, Brown University, Providence, RI, December 1990.