Multi-Method Learning in the Entropy Reduction Engine
Multi-Method Learning in the Entropy Reduction Engine
ERE has several learning methods that combine traditional analytic and inductive
methods of learning. Furthermore, the type of learning warranted
depends upon the type of knowledge being refined and on the
availability and reliability of knowledge needed to support the
refinement. Furthermore, the learning mechanism operates deliberately.
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Current Location: Entropy Reduction Engine-Capabilities-Multi-Method Learning