Why are some dimensions integral? Testing two hypotheses through causal learning experiments
| Autor: | Andrés M. Pérez-Acosta, Edgar H. Vogel, Fernando P. Ponce, Fabian A. Soto, Gonzalo R Quintana |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Linguistics and Language Pure mathematics Stimulus generalization Adolescent Physiology Cognitive Neuroscience Concept Formation Generalization Configural and elemental processing Experimental and Cognitive Psychology Stimulus Rational theory Models Psychological Article Group dynamics Language and Linguistics Generalization Psychological Separable space Separable and integral dimensions Young Adult Instrumental conditioning Concept formation Models Developmental and Educational Psychology Humans Learning Priority journal Conceptualization Psychological model Causal learning Experimental design Undergraduate student Causality Young adult Logical biconditional Human experiment State dependent learning Generalization (psychology) psychological Female Prediction Psychology Simulation Feedback system Human |
| Zdroj: | Repositorio EdocUR-U. Rosario Universidad del Rosario instacron:Universidad del Rosario |
| ISSN: | 1873-7838 |
| Popis: | Compound generalization and dimensional generalization are traditionally studied independently by different groups of researchers, who have proposed separate theories to explain results from each area. A recent extension of Shepard's rational theory of dimensional generalization allows an explanation of data from both areas within a single framework. However, the conceptualization of dimensional integrality in this theory (the direction hypothesis) is different from that favored by Shepard in his original theory (the correlation hypothesis). Here, we report two experiments that test differential predictions of these two notions of integrality. Each experiment takes a design from compound generalization and translates it into a design for dimensional generalization by replacing discrete stimulus components with dimensional values. Experiment 1 showed that an effect analogous to summation is found in dimensional generalization with separable dimensions, but the opposite effect is found with integral dimensions. Experiment 2 showed that the analogue of a biconditional discrimination is solved faster when stimuli vary in integral dimensions than when stimuli vary in separable dimensions. These results, which are analogous to more 'non-linear' processing with integral than with separable dimensions, were predicted by the direction hypothesis, but not by the correlation hypothesis. This confirms the assumptions of the unified rational theory of stimulus generalization and reveals interesting links between compound and dimensional generalization phenomena. © 2015 Elsevier B.V. |
| Databáze: | OpenAIRE |
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