Literature DB >> 8412710

Induction of combination rules in two-dimensional function learning.

K Koh1.   

Abstract

Previous studies have typically found that when people learn to combine two dimensions of a stimulus to select a response, they learn additive combination rules more easily than nonadditive (e.g., multiplicative) ones. The present experiments demonstrate that in some situations people can learn multiplicative rules more easily than other (e.g., additive) rules. Subjects learned to produce specified response durations when presented with stimulus lines varying in length and angle of orientation. When stimuli and correct responses were related by a multiplicative combination of power functions, learning was relatively easy (Experiment 1). In contrast, systematic response biases occurred during the early phases of learning an additive combination of linear functions (Experiment 2) and a more complex (nonadditive and nonmultiplicative) combination of linear functions (Experiment 3), suggesting that people have a tendency to induce a multiplicative combination of power functions. However, the initial biases decreased with practice. These results are explained in terms of a revised adaptive regression model of function learning originally proposed by Koh and Meyer (1991). Differences between the present results and previous results in the literature are discussed.

Entities:  

Mesh:

Year:  1993        PMID: 8412710     DOI: 10.3758/bf03197190

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  17 in total

1.  On the possible psychophysical laws.

Authors:  R D LUCE
Journal:  Psychol Rev       Date:  1959-03       Impact factor: 8.934

2.  COGNITIVE DEPENDENCE ON LINEAR AND NONLINEAR CUES.

Authors:  K R HAMMOND; D A SUMMERS
Journal:  Psychol Rev       Date:  1965-05       Impact factor: 8.934

3.  On the psychophysical law.

Authors:  S S STEVENS
Journal:  Psychol Rev       Date:  1957-05       Impact factor: 8.934

4.  The direct estimation of sensory magnitudes-loudness.

Authors:  S S STEVENS
Journal:  Am J Psychol       Date:  1956-03

5.  Function learning: induction of continuous stimulus-response relations.

Authors:  K Koh; D E Meyer
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1991-09       Impact factor: 3.051

6.  Regularization algorithms for learning that are equivalent to multilayer networks.

Authors:  T Poggio; F Girosi
Journal:  Science       Date:  1990-02-23       Impact factor: 47.728

Review 7.  Computational vision and regularization theory.

Authors:  T Poggio; V Torre; C Koch
Journal:  Nature       Date:  1985 Sep 26-Oct 2       Impact factor: 49.962

8.  Attention, similarity, and the identification-categorization relationship.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Gen       Date:  1986-03

9.  Studies in predictive behavior. Explorations into predictive judgments based on functional learning and defined by estimation, categorization, and choice.

Authors:  M Björkman
Journal:  Scand J Psychol       Date:  1965

10.  Cross-modality matching of brightness and loudness.

Authors:  J C Stevens; L E Marks
Journal:  Proc Natl Acad Sci U S A       Date:  1965-08       Impact factor: 11.205

View more
  1 in total

1.  Binaural summation after learning psychophysical functions for loudness.

Authors:  L E Marks; E Galanter; J C Baird
Journal:  Percept Psychophys       Date:  1995-11
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.