We present an intelligent backtracking algorithm with high accuracy and
low overhead, especially for certain classes of algorithms. Information
is associated with each variable binding and with each proof-tree node.
Performance results indicate that our approach can attain a similar
accuracy, but at a lower cost, when compared with other similar
intelligent backtracking approaches.
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