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Self-correcting generalization

  • Author(s): Whitehill, Stephen B.
  • et al.
Abstract

A system is described which creates and generalizes rules from examples. The system can recover from an initially misleading input sequence by keeping evidence which supports (or doesn't support) a given generalization. By undoing over-generalizations, the system maintains a minimal set of rules for a given set of inputs.

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