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Poster/Conférence:
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Clé de citation BibTeX: Wu
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Wu, M. L., & Gentner, D. (1998). Structure in category-based induction. Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, pp. 1154–1158.
Ajoutée par: Sterenn Audo 2008-01-22 14:04:28
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Résumé
We investigated category-based inference tasks, contrasting
the predictions of structural alignment theory as applied to
categorization with those of feature-overlap models of
similarity . We provide evidence for the differential level of
importance of causal information in category-based inference
tasks, as predicted by the systematicity principle (Gentner,
1983) . Our basic paradigm consists of a task in which
participants decide between inferences based on shared causal
antecedents or shared attributes . Experiment I demonstrated a
preference for the causal inference when the target animal
shares one attribute with one of the base animals and one
causal antecedent with the other base. Iii Experiment 2, we
found that this preference holds even when the target animal
shares greater attribute similarity with the noncausal base
(i .e ., the target shares two attributes with one base and one
causal antecedent with the other) . Experiment 2 also served to
demonstrate that this result can indeed be attributed to the
influence of causal structure, and not to surface stimulus
properties, such as sentence length . Overall, the results agreed
with the predictions of structural alignment theory and were
inconsistent with a feature-overlap account .
Ajoutée par: Sterenn Audo
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Idées
pdf dispo
Ajoutée par: Sterenn Audo
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