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Formal approaches in categorization

Formal approaches in categorization (Loan 1 times)

Material type
단행본
Personal Author
Pothos, Emmanuel M., 1973-. Wills, Andy J., 1972-.
Title Statement
Formal approaches in categorization / Emmanuel M. Pothos, Andy J. Wills, Editors.
Publication, Distribution, etc
Cambridge ;   New York :   Cambridge University Press,   c2011.  
Physical Medium
xii, 336 p. : ill. ; 24 cm.
ISBN
9780521190480 (hardback) 9780521140720 (paperback)
요약
"The process of constructing concepts underpins our capacity to encode information in an efficient and competent manner and also, ultimately, our ability to think in terms of abstract ideas such as justice, love and happiness. But what are the mechanisms which correspond to psychological categorization processes? This book unites many prominent approaches in modelling categorization. Each chapter focuses on a particular formal approach to categorization, presented by the proponent(s) or advocate(s) of that approach, and the authors consider the relation of this approach to other models and the ultimate objectives in their research programmes. The volume evaluates progress that has been made in the field and potential future developments. This is an essential companion to any scientist interested in the formal description of categorization and, more generally, in formal approaches to cognition. It will be the definitive guide to formal approaches in categorization research for years to come"--
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Categorization (Psychology)
000 01994camuu2200289 a 4500
001 000045802429
005 20140619171356
008 140619s2011 enka b 001 0 eng
010 ▼a 2010045712
020 ▼a 9780521190480 (hardback)
020 ▼a 9780521140720 (paperback)
035 ▼a (KERIS)REF000016123016
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009
050 0 0 ▼a BF445 ▼b .F66 2011
082 0 0 ▼a 153.2 ▼2 23
084 ▼a 153.2 ▼2 DDCK
090 ▼a 153.2 ▼b F723
245 0 0 ▼a Formal approaches in categorization / ▼c Emmanuel M. Pothos, Andy J. Wills, Editors.
260 ▼a Cambridge ; ▼a New York : ▼b Cambridge University Press, ▼c c2011.
300 ▼a xii, 336 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and index.
520 ▼a "The process of constructing concepts underpins our capacity to encode information in an efficient and competent manner and also, ultimately, our ability to think in terms of abstract ideas such as justice, love and happiness. But what are the mechanisms which correspond to psychological categorization processes? This book unites many prominent approaches in modelling categorization. Each chapter focuses on a particular formal approach to categorization, presented by the proponent(s) or advocate(s) of that approach, and the authors consider the relation of this approach to other models and the ultimate objectives in their research programmes. The volume evaluates progress that has been made in the field and potential future developments. This is an essential companion to any scientist interested in the formal description of categorization and, more generally, in formal approaches to cognition. It will be the definitive guide to formal approaches in categorization research for years to come"-- ▼c Provided by publisher.
650 0 ▼a Categorization (Psychology)
700 1 ▼a Pothos, Emmanuel M., ▼d 1973-.
700 1 ▼a Wills, Andy J., ▼d 1972-.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 153.2 F723 Accession No. 111719807 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

1. Introduction Emmanuel M. Pothos and Andy J. Wills; 2. The generalized context model: an exemplar model of classification Robert M. Nosofsky; 3. Prototype models of categorization: basic formulation, predictions, and limitations John Paul Minda and J. David Smith; 4. COVIS F. Gregory Ashby, Erick J. Paul and W. Todd Maddox; 5. Semantics without categorization Timothy T. Rogers and James L. McClelland; 6. Models of attentional learning John K. Kruschke; 7. An elemental model of associative learning and memory Evan Livesey and Ian McLaren; 8. Nonparametric Bayesian models of categorization Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro and Joshua B. Tenenbaum; 9. The simplicity model of unsupervised categorization Emmanuel M. Pothos, Nick Chater and Peter Hines; 10. Adaptive clustering models of categorization John V. McDonnell and Todd M. Gureckis; 11. COBWEB models of categorization and probabilistic concept formation Wayne Iba and Pat Langley; 12. The knowledge and resonance (KRES) model of category learning Harlan D. Harris and Bob Rehder; 13. The contribution (and drawbacks) of models to the study of concepts Gregory L. Murphy; 14. Formal models of categorization: insights from cognitive neuroscience Lukas Strnad, Stefano Anzellotti and Alfonso Caramazza; 15. Comments on models and categorization theories: the razor's edge Douglas Medin.


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