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HeuristicsThe Foundations of Adaptive Behavior$
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Gerd Gigerenzer, Ralph Hertwig, and Thorsten Pachur

Print publication date: 2011

Print ISBN-13: 9780199744282

Published to Oxford Scholarship Online: May 2011

DOI: 10.1093/acprof:oso/9780199744282.001.0001

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A Signal Detection Analysis of the Recognition Heuristic

A Signal Detection Analysis of the Recognition Heuristic

Chapter:
(p.334) Chapter 15 A Signal Detection Analysis of the Recognition Heuristic
Source:
Heuristics
Author(s):

Timothy J. Pleskac

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199744282.003.0015

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. This chapter integrates the recognition heuristic with signal detection theory to formally investigate how judges use their recognition memory to make inferences. The analysis reveals that false alarms and misses systematically influence the performance of the recognition heuristic. Furthermore, judges should adjust their recognition response criterion according to their experience with the environment to exploit the structure of information in it. Finally, the less-is-more effect is found to depend on the distribution of cue knowledge and judges' sensitivity to the difference between experienced and novel items. Theoretical implications of this bridge between the recognition heuristic and models of recognition memory are discussed.

Keywords:   recognition heuristic, signal detection theory, memory, less-is-more effect, heuristics

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