Formal Approaches in Categorization
Herausgeber: Pothos, Emmanuel M.; Wills, Andy J.
Formal Approaches in Categorization
Herausgeber: Pothos, Emmanuel M.; Wills, Andy J.
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Brings together the prominent approaches to categorization, providing an evaluation of the state of the art of formal categorization research.
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Brings together the prominent approaches to categorization, providing an evaluation of the state of the art of formal categorization research.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 350
- Erscheinungstermin: 27. Januar 2011
- Englisch
- Abmessung: 235mm x 157mm x 23mm
- Gewicht: 660g
- ISBN-13: 9780521190480
- ISBN-10: 0521190487
- Artikelnr.: 32466875
- Verlag: Cambridge University Press
- Seitenzahl: 350
- Erscheinungstermin: 27. Januar 2011
- Englisch
- Abmessung: 235mm x 157mm x 23mm
- Gewicht: 660g
- ISBN-13: 9780521190480
- ISBN-10: 0521190487
- Artikelnr.: 32466875
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.
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.
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.
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.