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The recognition heuristic in memory‐based inference: is recognition a non‐compensatory cue? [PDF]
Journal of Behavioral Decision Making, 2008 The recognition heuristic makes the strong claim that probabilistic inferences in which a recognized object is compared to an unrecognized one are made solely on the basis of whether the objects are recognized or not, ignoring all other available cues ...
Thorsten Pachur +2 more
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Recognizing Users of the Recognition Heuristic
Experimental Psychology, 2008The recognition heuristic is hypothesized to be a frugal inference strategy assuming that inferences are based on the recognition cue alone. This assumption, however, has been questioned by existing research. At the same time most studies rely on the proportion of choices consistent with the heuristic as a measure of its use which may not be fully ...
Benjamin E Hilbig, Rüdiger F Pohl
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A signal detection analysis of the recognition heuristic [PDF]
Psychonomic Bulletin and Review, 2007 The recognition heuristic uses a recognition decision to make an inference about an unknown variable in the world. Theories of recognition memory typically use a signal detection framework to predict this binary recognition decision. In this article, I integrate the recognition heuristic with signal detection theory to formally investigate how judges ...
Timothy J Pleskač, Pleskač Timothy J
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Recognition of occluded objects with heuristic search
Pattern Recognition, 1990Abstract This paper presents a new heuristic search based approach for recognition of partially obscured planar shapes. Based on a general scheme for representing the planar shapes in terms of their contour segments, a state space formulation is obtained for the recognition problem.
Santanu Chaudhury +2 more
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Empirical tests of the recognition heuristic
Journal of Behavioral Decision Making, 2006Rüdiger F Pohl
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Probabilistic Recognition Heuristic
SSRN Electronic Journal, 2015According to the recognition heuristic, people infer that an object they recognize has a higher value on a criterion of interest than an object they do not recognize. This model has been analyzed and conditions for the less-is-more effect- where recognizing fewer objects increases inferential accuracy have been derived.
Martin Egozcue +3 more
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