U - shaped learning may be necessary 3
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چکیده
U-shaped learning behaviour in cognitive development involves learning, unlearning and relearning. It occurs, for example, in learning irregular verbs. The prior cognitive science literature is occupied with how humans do it, for example, general rules versus tables of exceptions. This paper is mostly concerned with whether U-shaped learning behaviour may be necessary in the abstract mathematical setting of inductive inference, that is, in the computational learning theory following the framework of Gold. All notions considered are learning from text, that is, from positive data. Previous work showed that U-shaped learning behaviour is necessary for behaviourally correct learning but not for syntactically convergent, learning in the limit (= explanatory learning). The present paper establishes the necessity for the whole hierarchy of classes of vacillatory learning where a behaviourally correct learner has to satisfy the additional constraint that it vacillates in the limit between at most k grammars, where k ≥ 1. Non U-shaped vacillatory learning is shown to be restrictive: Every non U-shaped vacillatorily learnable class is already learnable in the limit. Furthermore, if vacillatory learning with the parameter k = 2 is possible then non U-shaped behaviourally correct learning is also possible. But for k = 3, surprisingly, there is a class witnessing that this implication fails. Email addresses: [email protected] (LorenzoCarlucci), [email protected] (JohnCase), [email protected] (Sanjay Jain), [email protected]. sg (FrankStephan). 1 Supported in part by NSF grant number NSF CCR-0208616. 2 Supported in part by NUS grant number R252–000–127–112. 3 Some results of this and related work were presented at the 12th International Congress of Logic, Methodology, and Philosophy of Science in Oviedo, Spain, 2003 and the 37th Annual Meeting of the Society for Mathematical Psychology in Ann Arbor, Michigan, 2004.
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تاریخ انتشار 2004