X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Formal approaches in categorization / (2011)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almahu_9947414739802882
    Format: 1 online resource (xii, 336 pages) : , digital, PDF file(s).
    ISBN: 9780511921322 (ebook)
    Content: 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 where it goes from here. 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 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 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.
    Additional Edition: Print version: ISBN 9780521190480
    Language: English
    URL: https://doi.org/10.1017/CBO9780511921322
    URL: https://doi.org/10.1017/CBO9780511921322
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltsverzeichnis
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    Stabi Berlin
    HU Berlin
    UB Potsdam
    Informationszentrum DGAP
  • 2
    Book
    Book
    Formal approaches in categorization (2011)
    Cambridge : Cambridge University Press
    Details
    UID:
    gbv_1606365088
    Format: xii, 336 Seiten , Illustrationen, Diagramme , 24 cm
    ISBN: 9780521190480 , 9780521140720 , 0521190487 , 0521140722
    Content: "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"--
    Note: Literaturangaben , Machine generated contents note: 1. Introduction , 2. The generalized context model: an exemplar model of classification , 3. Prototype models of categorization: basic formulation, predictions, and limitations , 4. COVIS , 5. Semantics without categorization , 6. Models of attentional learning , 7. An elemental model of associative learning and memory , 8. Nonparametric Bayesian models of categorization , 9. The simplicity model of unsupervised categorization , 10. Adaptive clustering models of categorization , 11. COBWEB models of categorization and probabilistic concept formation , 12. The knowledge and resonance (KRES) model of category learning , 13. The contribution (and drawbacks) of models to the study of concepts , 14. Formal models of categorization: insights from cognitive neuroscience , 15. Comments on models and categorization theories: the razor's edge
    Additional Edition: Erscheint auch als Online-Ausgabe Formal approaches in categorization Cambridge : Cambridge Univ. Press, 2011 ISBN 9786613006226
    Additional Edition: ISBN 9780511859977
    Additional Edition: ISBN 9781283006224
    Additional Edition: ISBN 0521190487
    Additional Edition: ISBN 0521140722
    Additional Edition: ISBN 1283006227
    Additional Edition: ISBN 9780521140720
    Additional Edition: ISBN 9780521190480
    Language: English
    Subjects: Psychology
    RVK:
    CP 4000
    Keywords: Kategorisierung ; Psychologie ; Kategorisierung ; Psychologie ; Aufsatzsammlung
    URL: Cover
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    MPI Bildungsforschung get availability status
  • 3
    Online Resource
    Online Resource
    Formal approaches in categorization (2011)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almahu_9948313927002882
    Format: xii, 336 p. : , ill.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Language: English
    Keywords: Electronic books.
    URL: Click to View
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
  • 4
    Online Resource
    Online Resource
    Formal approaches in categorization / (2011)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9959242011102883
    Format: 1 online resource (xii, 336 pages) : , digital, PDF file(s).
    Edition: 1st ed.
    ISBN: 0-511-86164-8 , 1-107-21366-5 , 1-283-00622-7 , 9786613006226 , 0-511-92132-2 , 0-511-85997-X , 0-511-86084-6 , 0-511-85823-X , 0-511-85736-5 , 0-511-85910-4
    Content: 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 where it goes from here. 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 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 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. , English
    Additional Edition: ISBN 0-521-14072-2
    Additional Edition: ISBN 0-521-19048-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    FU Berlin
Nothing or not found what you are looking for? Please check your search query. For a search / Interlibrary loan from abroad use the search set "KOBV International" in the old KOBV portal.
Did you mean 9780231140720?
Did you mean 9780521110730?
Did you mean 9780521107020?
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages