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Research article summary:
Extending the ALCOVE model of category learning to featural stimulus domains.
Abstract Extract:
The ALCOVE model of category learning, despite its considerable success in accounting for human performance across a wide range of empirical tasks, is limited by its reliance on spatial stimulus representations. Some stimulus domains are better suited to ... (Full abstract text below) ERROR: Unable to get article contents at this time (pubmed appears down). Please try again later. Links for this articleFor links to places where you can get the full text of this article see links. Note there may be a subscription or fee required for access to the full text. New! Using similar technology to this site, we have launched find-health-articles.com, targeting over 1 million health research article abstracts. Related ArticlesHere are some articles related to this one (by title keywords): Keywords in this article:absence, accounting, across, additive, alcove, approaches, aspects, assumptions, better, capture, categorization, category, characterizing, clustering, combining, considerable, contrasting, data, demonstrate, despite, developed, difference, discrete, discuss, domains, empirical, explaining, extended, failed, featural, features, finally, fundamental, generated, human, hybrid, learning, limited, measuring, model, multidimensional, performance, points, presence, qualitative, range, reliance, replacing, report, representational, representations, response, scaling, space, spatial, stimuli, stimulus, structures, success, suited, tasks, terms, two, unable, usually, version, ways, where, wide
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