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The term '''evolvability''' is used for a recent framework of computational learning introduced by [[Leslie Valiant]] in his paper of the same name and described below. The aim of this theory is to model biological evolution and categorize which types of mechanisms are evolvable. Evolution is an extension of [[Probably approximately correct learning|PAC learning]] and learning from statistical queries.
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