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Competition between multiple causes of a single outcome in causal reasoning

Abstract:
A strong positive predictor of an outcome modulates the causal judgments of a moderate predictor. To study the empirical basis of this modulation, we compared treatments with one and with two strong competing (i.e., modulating) causes. This allowed us to vary the frequency of outcome occurrences or effects paired with the predictors. We investigated causal competition between positive predictors (those signaling the occurrence of the outcome), between negative predictors (those signaling the absence of the outcome) and between predictors of opposite polarity (positive and negative). The results are consistent with a contrast rather than a reduced associative strength or conditional contingency account, because a strong predictor of opposite polarity enhances rather than reduces causal estimates of moderate predictors. In addition, we found competition effects when the strong predictor predicted fewer outcome occurrences than the moderate predictor, thus implying that cue competition is, at least sometimes, a consequence of contingency rather than total cue-outcome pairings.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1037/a0012699

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


Publisher:
American Psychological Association
Journal:
Journal of Experimental Psychology: Animal Behavior Processes More from this journal
Volume:
35
Issue:
1
Pages:
1-14
Publication date:
2009-01-01
DOI:
EISSN:
1939-2184
ISSN:
0097-7403


Keywords:
Pubs id:
pubs:312036
UUID:
uuid:ee81512c-9d28-4136-b2e6-a92859c629e9
Local pid:
pubs:312036
Source identifiers:
312036
Deposit date:
2013-09-26
ARK identifier:

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