Formal approaches in categorization

Formal approaches in categorization

by Pothos, Emmanuel M. Wills, Andy J.

Type Book
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Title Statements

  • Full title :Formal approaches in categorization / Emmanuel M. Pothos and Andy J. Wills, ed.

Edition Statements

  • Publication Date:2011
  • Edition:First publ

Publication Statements

The Physical Object

  • Description:XII, 336 Seiten : Diagramme : 24 cm

Edition Identifiers

  • ISBN:9780521140720, 0521140722, 9780521190480, 0521190487
  • oclc:ocn846122563
  • LC Classification:BF445
  • Dewey Decimal:153.2

Table of Contents

Machine generated contents note: 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 …

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