Literature DB >> 16841782

Does stimulus appearance affect learning?

Emmanuel M Pothos1, Nick Chater, Eleni Ziori.   

Abstract

We examined the learning process with 3 sets of stimuli that have identical symbolic structure but differ in appearance (meaningless letter strings, arrangements of geometric shapes, and sequences of cities). One hypothesis is that the learning process aims to encode symbolic regularity in the same way, largely regardless of appearance. Another is that different types of stimuli bias the learning process to operate in different ways. Using the experimental paradigm of artificial grammar learning, we provided a preliminary test of these hypotheses. In Experiments 1 and 2 we measured performance in terms of grammaticality and found no difference across the 3 sets of stimuli. In Experiment 3 we analyzed performance in terms of both grammaticality and chunk strength. Again we found no differences in performance. Our tentative conclusion is that the learning process aims to encode symbolic regularity independent of stimulus appearance.

Mesh:

Year:  2006        PMID: 16841782

Source DB:  PubMed          Journal:  Am J Psychol        ISSN: 0002-9556


  5 in total

1.  Implicit and explicit learning of socio-emotional information in a dynamic interaction with a virtual avatar.

Authors:  Andrei R Costea; Răzvan Jurchiș; Laura Visu-Petra; Axel Cleeremans; Elisbeth Norman; Adrian Opre
Journal:  Psychol Res       Date:  2022-08-29

2.  Social intuition as a form of implicit learning: Sequences of body movements are learned less explicitly than letter sequences.

Authors:  Elisabeth Norman; Mark C Price
Journal:  Adv Cogn Psychol       Date:  2012-05-21

3.  An entropy model for artificial grammar learning.

Authors:  Emmanuel M Pothos
Journal:  Front Psychol       Date:  2010-06-17

4.  A perceptual account of symbolic reasoning.

Authors:  David Landy; Colin Allen; Carlos Zednik
Journal:  Front Psychol       Date:  2014-04-21

Review 5.  Does complexity matter? Meta-analysis of learner performance in artificial grammar tasks.

Authors:  Rachel Schiff; Pesia Katan
Journal:  Front Psychol       Date:  2014-09-25
  5 in total

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