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dc:title "HTML Summary of #1607 \n\nWarping Similarity Space in Category Learning by Human Subjects: The Role of Task Difficulty\n\n";
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bibo:abstract "In innate Categorical Perception (CP) (e.g., colour perception), similarity space is \"warped,\"\nwith regions of increased within-category similarity (compression) and regions of reduced\nbetween-category similarity (separation) enh ancing the category boundaries and making categorisation\nreliable and all-or-none rather than graded. We show that category learning can likewise warp\nsimilarity space, resolving uncertainty near category boundaries. Two Hard and two Easy texture\nlearning tasks were compared: As predicted, there were fewer successful Learners with the Hard task,\nand only the successful Learners of the Hard task exhibited CP. In a second experiment, the Easy task\nwas made Hard by making the corrective feedback during learn ing only 90% reliable; this too\ngenerated CP. The results are discussed in relation to supervised, unsupervised and dual-mode models\nof category learning and representation.The world is full of things that vary in their similarity and\ninterconfusability.O rganisms must somehow resolve this confusion, sorting and acting upon things\nadaptively. It might be important, for example, to learn which kinds of mushrooms are poisonous and\nwhich are safe to eat, minimising the confusion between them (Greco, Cangelosi & Harnad 1997). \n"^^xsd:string;
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skos:prefLabel "Perceptual Cognitive Psychology" .
foaf:name "Department of Artificial Intelligence, Edinburgh University"^^xsd:string;
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foaf:name "Stevan Harnad"^^xsd:string;
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foaf:givenName "Rachel"^^xsd:string;
foaf:name "Rachel Pevtzow"^^xsd:string;
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foaf:name "M. Ramscar"^^xsd:string;
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foaf:name "Proceedings of SimCat 1997: Interdisciplinary Workshop on Similarity and Categorization"^^xsd:string;
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