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Concept learning

Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1956) as "the search for and testing of attributes that can be used to distinguish exemplars from non exemplars of various categories". More simply put, concepts are the mental categories that help us classify objects…

Products, Modern psychological theories & Types of concepts

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Types of concepts

Inductive learning and ML conflict with concept learning

Modern psychological theories

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Concept learning

Nodes51
Edges50
Triples172
Avg. degree1.96
Density0.039216
Components1

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Concept learning

Top relations

related to Further reading · 71
Concept learning → Archived, Bayes's Law, Bayesian Statistics, Berry, BF00114117, Brain, Brain Research, Brown, Cognition, Cognitive Sciences, Comparison, Component Display Theory, Concept, Concept Attainment, Concept Formation, Control, Current Directions, Dennis, Donald, Feldman
related to Concrete or perceptual concepts vs abstract concepts · 18
Concept learning → Abstract, Abstract-concept, According, Concepts, Concrete, Every, Evidence, Examples, For, However, One, Paivio’s, Some, Terms, These, Third, This, Two
related to Defined (or relational) and associated concepts · 15
Concept learning → An, Associated, Associative, Common, East, For, Never Eat Soggy Waffles, Never Eat Sour Worms, North, Relational, South, Teacher, These, This, West
related to Modern psychological theories · 13
Concept learning → Although, Clark Hull, Classical, Cognitive, Donald Hebb, George Miller's Wordnet, It, Karl Lashley, Neural, Pavlov, Reinforcement, The, Watson
related to Inductive learning and ML conflict with concept learning · 11
Concept learning → Algorithmic Information Theory, In, Information Theory, PAC Learning, Rendell, Solomonoff, Some, Statistical Learning Theory, These, Version Spaces, Watanabe
related to Bayesian · 9
Concept learning → Bayesian, Clydesdales, If, Meanwhile, Prior Probability, She, Taking, The, The Bayesian
related to Exemplar · 9
Concept learning → An, Exemplar, GCM, It, One, Only, Sometimes, These, This
related to Rule-based · 6
Concept learning → Example, Rule-based, Rules, The, They, When
related to Bias in concept attainment · 4
Concept learning → Concept, Focusing, Research, When
related to Types of concepts · 4
Concept learning → Concept, However, Similarly, So

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Important terminology

concept learning concepts theory examples example abstract one doi models human based attributes features concrete also theories attainment category two

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Concept learningis astrategy which requires a learner to compare and contrast groups or categories that contain concept-relevant features with groups or categories that do not contain concept-relev…0.90text
Concept learningis ageneralized context model0.90text
Concept learningis aACT-R model0.90text
a schemainstance ofand students were able to create their own version to help them learn the directions.Complex conceptsConstructs0.80text
a script are examples of complex conceptsinstance ofand students were able to create their own version to help them learn the directions.Complex conceptsConstructs0.80text
a schemainstance ofComplex conceptsConstructs0.80text
a script are examples of complex conceptsinstance ofComplex conceptsConstructs0.80text
George Miller's Wordnetinstance ofNeural network models of concept formation and the structure of knowledge have opened powerful hierarchical models of knowledge organization0.80text
ifinstance ofNeural networks also are open to neuroscience and psychophysiological models of learning following Karl Lashley and Donald Hebb.Rule-basedRule-based theories of concept learning…0.80text
ifinstance ofRule-basedRule-based theories of concept learning began with cognitive psychology and early computer models of learning that might be implemented in a high level computer langua…0.80text
Concept learningrelated to BayesianTaking0.60section
Concept learningrelated to BayesianBayesian0.60section

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