Inductive Learning in the Entropy Reduction Engine
Inductive Learning in the Entropy Reduction Engine
Problem Reduction Rules can be
refined in the face of inappropriate problem-solving behavior. Recall
that ERE can perform in an anytime manner: the Reactor may be forced to perform an
action before the Projector has
completed planning. It is possible that the
action taken was inappropriate in the long run. The system would have
to backtrack. The probability of backtracking can be reduced by
incrementally refining the problem reduction rules such that the
subproblems are more independently solvable.
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