Artificial Intelligence
A formal analysis of machine learning systems for knowledge acquisition
International Journal of Man-Machine Studies
Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
Explanations of empirically derived reactive plans
Proceedings of the seventh international conference (1990) on Machine learning
Learning plans for an intelligent assistant by observing user behavior
International Journal of Man-Machine Studies
Knowledge Compilation: A Symposium
IEEE Expert: Intelligent Systems and Their Applications
Pilot's Associate: A Cooperative, Knowledge-Based System Application
IEEE Expert: Intelligent Systems and Their Applications
Explanation-Based Generalization: A Unifying View
Machine Learning
Explanation-Based Learning: An Alternative View
Machine Learning
| Hi-index | 0.00 |
The use of explanation-based learning as part of a larger knowledge compilation system for automating the development and maintenance of associate knowledge bases is discussed. Specifically, the implemented systems of the Learning Systems for Pilot Aiding (LSPA), which automates portions of the offline process of incorporating new information into the knowledge bases of Pilot's Associate, one of the largest and most thoroughly developed associate systems, and then propagates pertinent changes to other Pilot's Associate modules, are described. The learning algorithm and some modifications to it are also described. It is shown that the general approach should be relevant and easily generalizable to other intelligent associate systems, such as a submarine commander's associate and a helicopter pilot's associate. For substantially different systems, explanation-based learning should be generally valid as a front end for knowledge compilation.