Overview
The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.
Full Product Details
Author: Glenn V. Nakamura (Texas Tech University, Lubbock, U.S.A.) , Douglas L. Medin (Northwestern University, Evanston, IL, USA) , Roman Taraban (Texas Tech University, Lubbock, U.S.A.)
Publisher: Elsevier Science Publishing Co Inc
Imprint: Academic Press Inc
Volume: v. 29
Dimensions:
Width: 15.20cm
, Height: 3.60cm
, Length: 22.90cm
Weight: 0.950kg
ISBN: 9780125433297
ISBN 10: 0125433298
Pages: 552
Publication Date: 22 October 1993
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Out of Print
Availability: In Print 
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.
Table of Contents
R. Taraban, Introduction: A Coupling of Disciplines in Categorization Research. Models of Data Driven Category Learning and Processing: W.K. Estes, Models of Categorization and Category Learning. J.K. Kruschke, Three Principles for Models of Category Learning. R. Taraban and J.M. Palacios, Exemplar Models and Weighted Cue Models in Category Learning. J.L. McDonald, The Acquisition of Categories Marked by Multiple Probabilistic Cues. R. Bareiss and B.M.Slator, The Evolution of a Case-Based Computational Approach to Knowledge Representation, Classification, and Learning. Data-Driven And Theory-Driven Processing And Processing Models R.J. Mooney, Integrating Theory and Data in Category Learning. D. Fisher and J.P. Yoo, Categorization, Concept Learning, and Problem-Solving: A Unifying View. T.B. Ward, Processing Biases, Knowledge, and Context in Category Formation. G.H. Mumma, Categorization and Rule Induction in Clinical Diagnosis and Assessment. G.L. Murphy, A Rational Theory of Concepts. Concepts, Category Boundaries, And Conceptual Combination: B.C. Malt, Concept Structure and Category Boundaries. E.J. Shoben, Non-Predicating Conceptual Combinations. A.C. Graesser, M.C. Langston, and W.B. Baggett, Exploring Information About Concepts by Asking Questions. E.W. Averill, Hidden Kind Classifications. T.J. van Gelder, Is Cognition Categorization? W.F. Brewer, What are Concepts? Issues of Representation and Ontology. Index. Contents of Recent Volumes.
Reviews
Praise for the Serial Indispensable to all psychologists interested in the experimental study of the phenomena of learning and motivation. BRITISH JOURNAL OF PSYCHOLOGY Provides a diverse sampling of research being conducted throughout the area of learning. CONTEMPORARY PSYCHOLOGY
Praise for the Serial Indispensable to all psychologists interested in the experimental study of the phenomena of learning and motivation. BRITISH JOURNAL OF PSYCHOLOGY Provides a diverse sampling of research being conducted throughout the area of learning. CONTEMPORARY PSYCHOLOGY
Author Information
Douglas L. Medin is the series editor of The Psychology of Learning and Motivation.
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