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Explaining Asymmetry Similarity Difference

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SeminarPast EventNeuroscience

Explaining an asymmetry in similarity and difference judgments

Nick Ichien

University of California, Los Angeles

Schedule
Wednesday, March 22, 2023

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Wednesday, March 22, 2023

11:00 AM America/Chicago

Host: Analogical Minds

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Analogical Minds

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Abstract

Explicit similarity judgments tend to emphasize relational information more than do difference judgments. In this talk, I propose and test the hypothesis that this asymmetry arises because human reasoners represent the relation different as the negation of the relation same (i.e., as not-same). This proposal implies that processing difference is more cognitively demanding than processing similarity. Both for verbal comparisons between word pairs, and for visual comparisons between sets of geometric shapes, participants completed a triad task in which they selected which of two options was either more similar to or more different from a standard. On unambiguous trials, one option was unambiguously more similar to the standard, either by virtue of featural similarity or by virtue of relational similarity. On ambiguous trials, one option was more featurally similar (but less relationally similar) to the standard, whereas the other was more relationally similar (but less featurally similar). Given the higher cognitive complexity of assessing relational similarity, we predicted that detecting relational difference would be particularly demanding. We found that participants (1) had more difficulty accurately detecting relational difference than they did relational similarity on unambiguous trials, and (2) tended to emphasize relational information more when judging similarity than when judging difference on ambiguous trials. The latter finding was captured by a computational model of comparison that weights relational information more heavily for similarity than for difference judgments. These results provide convergent evidence for a representational asymmetry between the relations same and different.

Topics

cognitioncomputational modeldifference judgmentsfeatural similarityrelational informationrelational similarityrepresentational asymmetrysimilarity judgmentstriad task

About the Speaker

Nick Ichien

University of California, Los Angeles

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