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Costs and benefits in perceptual categorization
 Memory & Cognition
"... conditions, and costs were either zero or nonzero. The costbenefit structures were selected so that performance across conditions was equivalent with respect to the optimal classifier. Each observer completed several blocks of trials in each of the experimental conditions, and a series of nested m ..."
Abstract

Cited by 13 (11 self)
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conditions, and costs were either zero or nonzero. The costbenefit structures were selected so that performance across conditions was equivalent with respect to the optimal classifier. Each observer completed several blocks of trials in each of the experimental conditions, and a series of nested models were applied to the individual observer data from all conditions. In general, performance became more nearly optimal as observers gained experience with the costbenefit structures, but performance reached asymptote at a suboptimal level. Observers behaved differently in the zero and nonzero cost conditions, performing consistently worse when costs were nonzero. A test of the hypothesis that observers weight costs more heavily than benefits was inconclusive. Some aspects of the data supported this differential weighting hypothesis, but others did not. Implications for current theories of costbenefit learning are discussed. Everyday we make important decisions based on uncertain information. For example, we might decide to “bring ” or “not bring ” an umbrella to work based solely on uncertain predictors of rain, like the degree of overcast. This is a categorization problem because there are many degrees of overcast that one might observe, but
Category discriminability, baserate, and payoff effects in perceptual organization
 Perception & Psychophysics
, 2001
"... (i.e., d ¢ level), base rates, and payoffs was examined. Baserate and payoff manipulations across two category discriminabilities allowed a test of the hypothesis that the steepness of the objective reward function affects performance (i.e., the flatmaxima hypothesis), as well as the hypothesis th ..."
Abstract

Cited by 10 (7 self)
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(i.e., d ¢ level), base rates, and payoffs was examined. Baserate and payoff manipulations across two category discriminabilities allowed a test of the hypothesis that the steepness of the objective reward function affects performance (i.e., the flatmaxima hypothesis), as well as the hypothesis that observers combine baserate and payoff information independently. Performance was (1) closer to optimal for the steeper objective reward function, in line with the flatmaxima hypothesis, (2) closer to optimal in baserate conditions than in payoff conditions, and (3) in partial support of the hypothesis that baserate and payoff knowledge is combined independently. Implications for current theories of baserate and payoff learning are discussed.