Feature creation as a byproduct of attentional processing
Behavioral and Brain Sciences 21 (1):33-34 (1998)
Abstract
Attributing the creation of new features to categorization requirements implies that the exemplars displayed are correctly assigned to their category. This constraint limits the scope of Schyns et al.'s proposal to supervised learning. We present data suggesting that this constraint is unwarranted and we argue that feature creation is better thought of as a byproduct of the attentional, on-line processing of incoming information.DOI
10.1017/s0140525x9844010x
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Citations of this work
iMinerva: A Mathematical Model of Distributional Statistical Learning.Erik D. Thiessen & Philip I. Pavlik - 2013 - Cognitive Science 37 (2):310-343.