Literature DB >> 11034211

Minimization of Boolean complexity in human concept learning.

J Feldman1.   

Abstract

One of the unsolved problems in the field of human concept learning concerns the factors that determine the subjective difficulty of concepts: why are some concepts psychologically simple and easy to learn, while others seem difficult, complex or incoherent? This question was much studied in the 1960s but was never answered, and more recent characterizations of concepts as prototypes rather than logical rules leave it unsolved. Here I investigate this question in the domain of Boolean concepts (categories defined by logical rules). A series of experiments measured the subjective difficulty of a wide range of logical varieties of concepts (41 mathematically distinct types in six families--a far wider range than has been tested previously). The data reveal a surprisingly simple empirical 'law': the subjective difficulty of a concept is directly proportional to its Boolean complexity (the length of the shortest logically equivalent propositional formula)--that is, to its logical incompressibility.

Entities:  

Mesh:

Year:  2000        PMID: 11034211     DOI: 10.1038/35036586

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  74 in total

1.  A probabilistic model of eye movements in concept formation.

Authors:  Jonathan D Nelson; Garrison W Cottrell
Journal:  Neurocomputing       Date:  2007-01-02       Impact factor: 5.719

2.  Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary models.

Authors:  Robert M Nosofsky; Daniel R Little
Journal:  Mem Cognit       Date:  2010-10

3.  Deferred feedback sharply dissociates implicit and explicit category learning.

Authors:  J David Smith; Joseph Boomer; Alexandria C Zakrzewski; Jessica L Roeder; Barbara A Church; F Gregory Ashby
Journal:  Psychol Sci       Date:  2013-12-13

4.  Learning categories by making predictions: an investigation of indirect category learning.

Authors:  John Paul Minda; Brian H Ross
Journal:  Mem Cognit       Date:  2004-12

5.  Response times seen as decompression times in Boolean concept use.

Authors:  Joël Bradmetz; Fabien Mathy
Journal:  Psychol Res       Date:  2006-11-09

Review 6.  Models in search of a brain.

Authors:  Bradley C Love; Todd M Gureckis
Journal:  Cogn Affect Behav Neurosci       Date:  2007-06       Impact factor: 3.282

7.  The role of visuospatial and verbal working memory in perceptual category learning.

Authors:  Dagmar Zeithamova; W Todd Maddox
Journal:  Mem Cognit       Date:  2007-09

8.  Separating cognitive capacity from knowledge: a new hypothesis.

Authors:  Graeme S Halford; Nelson Cowan; Glenda Andrews
Journal:  Trends Cogn Sci       Date:  2007-05-01       Impact factor: 20.229

9.  Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning.

Authors:  Kaileigh A Byrne; Tyler Davis; Darrell A Worthy
Journal:  J Cogn Neurosci       Date:  2016-02-26       Impact factor: 3.225

10.  Taking the Relational Structure of Fractions Seriously: Relational Reasoning Predicts Fraction Knowledge in Elementary School Children.

Authors:  Priya B Kalra; Edward M Hubbard; Percival G Matthews
Journal:  Contemp Educ Psychol       Date:  2020-07-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.