Categories and Concepts: Theoretical Views and Inductive Data Analysis (Cognitive Science)

Author(s)


General Introduction: Purpose, Underlying Ideas, And Scope Of The Book / Iven Van Mechelen And Ryszard S. Michalski -- Psychological Models Of Concepts: Introduction / James Hampton And Danièle Dubois -- Concept, Class, And Category In The Tradition Of Aristotle / John Philip Sutcliffe -- Prototype Models Of Concept Representation / James Hampton -- Components Of Conceptual Representation: From Feature Lists To Recursive Frames / Lawrence W. Barsalou And Christopher R. Hale -- Beyond Prototypes And Frames: The Two-tiered Concept Representation / Ryszard S. Michalski -- Theories And Concept Formation / Gregory L. Murphy. (cont'd.) Categories And Concepts: Introduction To Data Analysis / Hubert Feger And Paul De Boeck -- Cluster Analysis Using Proximities / Fionn D. Murtagh -- Regression And Discriminant Analysis For Analyzing Judgements / Michael T. Brannick -- The Hierarchical Classes Approach: A Review / Paul De Boeck, Seymour Rosenberg, And Iven Van Mechelen -- Galois Approach To The Induction Of Concepts / Alain Guénoche And Iven Van Mechelen -- Using Latent Class Analysis In Categorization Research / Geert De Soete -- Categories And Concepts: Theoretical Views And Inductive Data Analysis / Iven Van Mechelen, Paul De Boeck, Peter Theuns, And Eric Degreef. Edited By Iven Van Mechelen ... [et Al.]. Includes Bibliographical References And Indexes. Includes Bibliographical References And Index.

Name in long format: Categories and Concepts: Theoretical Views and Inductive Data Analysis (Cognitive Science)
ISBN-10: 0127141758
ISBN-13: 9780127141756
Book pages: 364
Book language: en
Binding: Paperback
Publisher: Academic Press
Dimensions: Height: 9.25 Inches, Length: 6.25 Inches, Weight: 0.5070632026 Pounds, Width: 0.75 Inches

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