Abstract:The paper is a survey of recent results on algorithmic learning (inductive inference) of languages from full collection of positive examples and some negative data. Different types of negative data are considered. We primarily concentrate on learning using (1) carefully chosen finite negative data (2) negative counterexamples provided when conjectures contain data not in the target language (3) negative counterexamples obtained from a teacher (formally, oracle), when a learner queries the oracle if an hypothes… Show more
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