Knowledge, Concepts and Categories brings together an overview of recent research on concepts and knowledge that abstracts across a variety of specific fields of cognitive psychology.
Knowledge, Concepts and Categories brings together an overview of recent research on concepts and knowledge that abstracts across a variety of specific fields of cognitive psychology.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
K. Lamberts D. Shanks Introduction. E. Heit Knowledge and Concept Learning. U. Hahn N. Chater Concepts and Similarity. G.L. Murphy M. E. Lassaline Hierarchical Structure in Concepts and the Basic Level of Categorization. J. Hampton Conceptual Combination. L.B. Smith L.K. Samuelson Perceiving and Remembering: Category Stability Variability and Development. D.R. Shanks Distributed Representations and Implicit Knowledge: A Brief Introduction. B. Knowlton Declarative and Nondeclarative Knowledge: Insights From Cognitive Neuroscience. T. Goschke Implicit Learning and Unconscious Knowledge: Mental Representation Computational Mechanisms and Brain Structures. B.W.A. Whittlesea The Representation of General and Particular Knowledge. K. Lamberts Process Models of Categorization. J.R. Busemeyer E. Byun E.L. Delosh M.A. McDaniel Learning Functional Relations Based on Experience With Input-Output Pairs by Humans and Artificial Neural Networks. G. Storms P. De Boeck Formal Methods for Intra-categorical Structure That Can be Used for Data Analysis.
K. Lamberts D. Shanks Introduction. E. Heit Knowledge and Concept Learning. U. Hahn N. Chater Concepts and Similarity. G.L. Murphy M. E. Lassaline Hierarchical Structure in Concepts and the Basic Level of Categorization. J. Hampton Conceptual Combination. L.B. Smith L.K. Samuelson Perceiving and Remembering: Category Stability Variability and Development. D.R. Shanks Distributed Representations and Implicit Knowledge: A Brief Introduction. B. Knowlton Declarative and Nondeclarative Knowledge: Insights From Cognitive Neuroscience. T. Goschke Implicit Learning and Unconscious Knowledge: Mental Representation Computational Mechanisms and Brain Structures. B.W.A. Whittlesea The Representation of General and Particular Knowledge. K. Lamberts Process Models of Categorization. J.R. Busemeyer E. Byun E.L. Delosh M.A. McDaniel Learning Functional Relations Based on Experience With Input-Output Pairs by Humans and Artificial Neural Networks. G. Storms P. De Boeck Formal Methods for Intra-categorical Structure That Can be Used for Data Analysis.
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