Literature DB >> 28432591

Prior beliefs influence symmetrical or asymmetrical generalizations in human causal learning.

Ryoji Nishiyama1, Takatoshi Nagaishi2, Takahisa Masaki3.   

Abstract

The generalization decrement between element A and compound AX has shown both symmetrical (Thorwart & Lachnit, 2009) and asymmetrical (Glautier, 2004) patterns in human contingency learning. In a series of experiments we examined the hypothesis that prior beliefs about the relationship between a distinctive element X and an outcome are important for determining the different generalization patterns. Participants learned which given enterobacteria caused a negative or a positive effect on gastrointestinal conditions. Subsequently, they were asked to evaluate learned cues and novel cues in which distinctive elements were added to or removed from the enterobacteria. The results generally demonstrated that relatedness between the elements and outcomes, such as negative features combined with a negative outcome or positive features combined with a positive outcome, resulted in asymmetrical generalization patterns. By contrast, unrelated combinations, such as positive features and a negative outcome, produced symmetrical patterns of generalization. Configural and elemental models of stimulus generalization are discussed.

Entities:  

Keywords:  Associative learning; Configural processing; Elemental processing; Generalization; Prior beliefs

Mesh:

Year:  2017        PMID: 28432591     DOI: 10.3758/s13420-017-0273-2

Source DB:  PubMed          Journal:  Learn Behav        ISSN: 1543-4494            Impact factor:   1.986


  21 in total

1.  Differential effects of adding and removing components of a context on the generalization of conditional freezing.

Authors:  Felisa González; Jennifer J Quinn; Michael S Fanselow
Journal:  J Exp Psychol Anim Behav Process       Date:  2003-01

2.  Two kinds of attention in Pavlovian conditioning: evidence for a hybrid model of learning.

Authors:  Mark Haselgrove; Guillem R Esber; John M Pearce; Peter M Jones
Journal:  J Exp Psychol Anim Behav Process       Date:  2010-10

3.  The outcome specificity of learned predictiveness effects: parallels between human causal learning and animal conditioning.

Authors:  M E Le Pelley; S M Oakeshott; A J Wills; I P L McLaren
Journal:  J Exp Psychol Anim Behav Process       Date:  2005-04

Review 4.  Stimulus coding in human associative learning: flexible representations of parts and wholes.

Authors:  Klaus G Melchers; David R Shanks; Harald Lachnit
Journal:  Behav Processes       Date:  2007-10-13       Impact factor: 1.777

5.  Transsaccadic representation of layout: what is the time course of boundary extension?

Authors:  Christopher A Dickinson; Helene Intraub
Journal:  J Exp Psychol Hum Percept Perform       Date:  2008-06       Impact factor: 3.332

6.  Individual difference in configural associative learning.

Authors:  Nicola C Byrom; Robin A Murphy
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2016-10       Impact factor: 2.478

7.  Genesis of popular but erroneous psychodiagnostic observations.

Authors:  L J Chapman; J P Chapman
Journal:  J Abnorm Psychol       Date:  1967-06

8.  Similarity and discrimination: a selective review and a connectionist model.

Authors:  J M Pearce
Journal:  Psychol Rev       Date:  1994-10       Impact factor: 8.934

9.  Asymmetrical generalization of conditioning and extinction from compound to element and element to compound.

Authors:  Mark E Bouton; Caleb Doyle-Burr; Drina Vurbic
Journal:  J Exp Psychol Anim Behav Process       Date:  2012-08-27

10.  Sampling capacity underlies individual differences in human associative learning.

Authors:  Nicola C Byrom; Robin A Murphy
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2014-04       Impact factor: 2.478

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