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Information integration in multiple cue judgment: A division of labor hypothesis

Authors
Publisher
Elsevier B.V.
Publication Date
Volume
106
Issue
1
Identifiers
DOI: 10.1016/j.cognition.2007.02.003
Keywords
  • Judgment
  • Multiple-Cue Judgment
  • Cue Abstraction
  • Exemplar Memory

Abstract

Abstract There is considerable evidence that judgment is constrained to additive integration of information. The authors propose an explanation of why serial and additive cognitive integration can produce accurate multiple cue judgment both in additive and non-additive environments in terms of an adaptive division of labor between multiple representations. It is hypothesized that, whereas the additive, independent linear effect of each cue can be explicitly abstracted and integrated by a serial, additive judgment process, a variety of sophisticated task properties, like non-additive cue combination, non-linear relations, and inter-cue correlation, are carried implicitly by exemplar memory. Three experiments investigating the effect of additive versus non-additive cue combination verify the predicted shift in cognitive representations as a function of the underlying combination rule.

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