TOWARD A UNIFIED THEORY OF DECISION CRITERION LEARNING IN PERCEPTUAL CATEGORIZATION
نویسندگان
چکیده
منابع مشابه
Toward a unified theory of decision criterion learning in perceptual categorization.
Optimal decision criterion placement maximizes expected reward and requires sensitivity to the category base rates (prior probabilities) and payoffs (costs and benefits of incorrect and correct responding). When base rates are unequal, human decision criterion is nearly optimal, but when payoffs are unequal, suboptimal decision criterion placement is observed, even when the optimal decision cri...
متن کاملLinear transformations of the payoff matrix and decision criterion learning in perceptual categorization.
The effects of payoff-matrix multiplication, payoff-matrix addition, the presence of long-run gains versus long-run losses, category discriminability, and base rate on decision criterion learning were examined in 2 perceptual categorization experiments. Observers were found to be sensitive to the effects of payoff-matrix multiplication (and category discriminability) on the steepness of the obj...
متن کاملOptimal classifier feedback improves cost-benefit but not base-rate decision criterion learning in perceptual categorization.
Unequal payoffs engender separate reward- and accuracy-maximizing decision criteria; unequal base rates do not. When payoffs are unequal, observers place greater emphasis on accuracy than is optimal. This study compares objective classifier (the objectively correct response) with optimal classifier feedback (the optimal classifier's response) when payoffs or base rates are unequal. It provides ...
متن کاملProcedural learning in perceptual categorization.
In two experiments, observers learned two types of category structures: those in which perfect accuracy could be achieved via some explicit rule-based strategy and those in which perfect accuracy required integrating information from separate perceptual dimensions at some predecisional stage. At the end of training, some observers were required to switch their hands on the response keys, wherea...
متن کاملOn the generality of optimal versus objective classifier feedback effects on decision criterion learning in perceptual categorization.
Biased category payoff matrices engender separate reward- and accuracy-maximizing decision criteria Although instructed to maximize reward, observers use suboptimal decision criteria that place greater emphasis on accuracy than is optimal. In this study, objective classifier feedback (the objectively correct response) was compared with optimal classifier feedback (the optimal classifier's respo...
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ژورنال
عنوان ژورنال: Journal of the Experimental Analysis of Behavior
سال: 2002
ISSN: 0022-5002
DOI: 10.1901/jeab.2002.78-567