Probabilistic Cue Combination: Less is More
Identifieur interne : 002233 ( Main/Curation ); précédent : 002232; suivant : 002234Probabilistic Cue Combination: Less is More
Auteurs : Daniel Yurovsky ; Ty W. Boyer ; Linda B. Smith ; Chen YuSource :
- Developmental science [ 1363-755X ] ; 2012.
Abstract
Learning about the structure of the world requires learning probabilistic relationships: rules in which cues do not predict outcomes with certainty. However, in some cases, the ability to track probabilistic relationships is a handicap, leading adults to perform non-normatively in prediction tasks. For example, in the
Url:
DOI: 10.1111/desc.12011
PubMed: 23432826
PubMed Central: 3582171
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Daniel Yurovsky<affiliation><nlm:aff id="A1">Department of Psychology, Stanford University</nlm:aff>
<wicri:noCountry code="subfield">Stanford University</wicri:noCountry>
</affiliation>
<affiliation><nlm:aff id="A2">Department of Psychology, Georgia Southern University</nlm:aff>
<wicri:noCountry code="subfield">Georgia Southern University</wicri:noCountry>
</affiliation>
<affiliation><nlm:aff id="A3">Department of Psychological and Brain Sciences and Program in Cognitive Science, Indiana University</nlm:aff>
<wicri:noCountry code="subfield">Indiana University</wicri:noCountry>
</affiliation>
<affiliation><nlm:aff id="A3">Department of Psychological and Brain Sciences and Program in Cognitive Science, Indiana University</nlm:aff>
<wicri:noCountry code="subfield">Indiana University</wicri:noCountry>
</affiliation>
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<author><name sortKey="Boyer, Ty W" sort="Boyer, Ty W" uniqKey="Boyer T" first="Ty W." last="Boyer">Ty W. Boyer</name>
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<wicri:noCountry code="subfield">Georgia Southern University</wicri:noCountry>
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<author><name sortKey="Smith, Linda B" sort="Smith, Linda B" uniqKey="Smith L" first="Linda B." last="Smith">Linda B. Smith</name>
<affiliation><nlm:aff id="A3">Department of Psychological and Brain Sciences and Program in Cognitive Science, Indiana University</nlm:aff>
<wicri:noCountry code="subfield">Indiana University</wicri:noCountry>
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<author><name sortKey="Yu, Chen" sort="Yu, Chen" uniqKey="Yu C" first="Chen" last="Yu">Chen Yu</name>
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<wicri:noCountry code="subfield">Georgia Southern University</wicri:noCountry>
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<wicri:noCountry code="subfield">Indiana University</wicri:noCountry>
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<author><name sortKey="Yu, Chen" sort="Yu, Chen" uniqKey="Yu C" first="Chen" last="Yu">Chen Yu</name>
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<wicri:noCountry code="subfield">Indiana University</wicri:noCountry>
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<front><div type="abstract" xml:lang="en"><p id="P1">Learning about the structure of the world requires learning probabilistic relationships: rules in which cues do not predict outcomes with certainty. However, in some cases, the ability to track probabilistic relationships is a handicap, leading adults to perform non-normatively in prediction tasks. For example, in the <italic>dilution effect</italic>
, predictions made from the combination of two cues of different strengths are less accurate than those made from the stronger cue alone. Here we show that <italic>dilution</italic>
is an adult problem; 11-month-old infants combine strong and weak predictors normatively. These results extend and add support for the <italic>less is more</italic>
hypothesis: limited cognitive resources can lead children to represent probabilistic information differently from adults, and this difference in representation can have important downstream consequences for prediction.</p>
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