Multi-Method Learning in Prodigy
Multi-Method Learning in Prodigy
Prodigy is capable of several methods of learning. Separate learning
modules employ different methods. The system heavily employs
explanation-based learning, abstract plan generation, and static
domain analysis. All learning in Prodigy is
deliberative.
The learning methods supported by Prodigy are:
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