A fuzzy logical model of letter identification

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Abstract

Stimuli were generated by factorially varying 2 sets of features that distinguish between 2 letter patterns. 20 undergraduates rated the degree to which each stimulus was an instance of one letter rather than the alternative. The obtained ratings were relatively continuous and systematic functions of the feature manipulations. The results were well accounted for by a model in which (a) each feature has an associated fuzzy predicate that is used to evaluate independently the degree to which it is true that the feature is present in the stimulus, (b) the featural truth values are integrated according to fuzzy logical expressions that correspond directly to propositional descriptions of each letter pattern, and (c) the resulting goodness of match to the stimulus for each letter is compared to that of the alternatives to determine the final identification. (28 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved)

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