A multiplicative model is proposed for the similarity between stimuli varying in easily discerned dimensions. According to this model, the multidimensional similarity estimate equals a product, weighted by exponents, of the unidimensional estimates. The multiplicative model, together with two alternative ones, a vector model and an additive model, are tested in two experiments where the stimuli are varied in two dimensions. The multiplicative model seems to describe the empirical data most closely.
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