A brief overview of explanatory schema acquisition
Machine learning: a guide to current research
Explanation-based learning in logic circuit design
Machine learning: a guide to current research
A learning apprentice system for VLSI design
Machine learning: a guide to current research
Explanation-Based Generalization: A Unifying View
Machine Learning
Explanation-Based Learning: An Alternative View
Machine Learning
Experiments with Incremental Concept Formation: UNIMEM
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
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A learning apprentice system is presented, which learns from examples extracted from user dialogues. The system provides an interface between the user and the turbine modeller. While a dialogue is carried out between the user and the turbine modelling software, the system observes the dialogues and whenever a new example is observed which performs a task completely, the system tries to learn it. The learning methodology used by the system is described and various drawbacks are pointed out. A new learning methodology is proposed which easily overcomes the problems faced by the earlier methodology.