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Refinement of rules refers to the modification of a given rule set based on additonal examples.
The input to the task is a so-called hypothesis (a set of rules) and a set of old and new positive and negative examples.
The output of the algorithm are a refined set of rules and the total set of examples.
The new set of rules is correct, complete, non-redundant and (if necessary) minimal.
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