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Formal Approaches in Categorization

$57.99

Emmanuel M. Pothos, Andy J. Wills, Robert M. Nosofsky, John Paul Minda, J. David Smith, F. Gregory Ashby, Erick J. Paul, W. Todd Maddox, Timothy T. Rogers, James L. McClelland, John K. Kruschke, Evan Livesey, Ian McLaren, Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro, Joshua B. Tenenbaum, Nick Chater, Peter Hines, John V. McDonnell, Todd M. Gureckis, Wayne Iba, Pat Langley, Harlan D. Harris, Bob Rehder, Gregory L. Murphy, Lukas Strnad, Stefano Anzellotti, Alfonso Caramazza, Douglas Medin
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  • Date Published: January 2011
  • availability: Available
  • format: Paperback
  • isbn: 9780521140720

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About the Authors
  • 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.

    • Features the mathematical and implementational details for each model, as well as important conceptual aspects such as motivational and psychological justification
    • Highlights the key current problems in categorization research and potential ways of resolving them
    • 3 commentaries evaluate formal categorization work in a general and critical manner
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    Reviews & endorsements

    'A great introductory volume for advanced undergraduates, beginning graduate students, or those new to categorization research. This is the first place to turn before reading the original research papers, with chapters written by the same people who conducted that original research. The volume also provides an important object lesson on how formal approaches can critically shape our understanding of human cognition and is required reading for anyone interested in categorization.' Thomas Palmeri, Vanderbilt University

    'This is a singularly insightful approach to summarizing and commenting on the development of a field. Formal Approaches in Categorization … is a work we can all be proud of.' PsycCRITIQUES

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    Product details

    • Date Published: January 2011
    • format: Paperback
    • isbn: 9780521140720
    • length: 348 pages
    • dimensions: 229 x 154 x 17 mm
    • weight: 0.56kg
    • contains: 49 b/w illus. 12 tables
    • availability: Available
  • 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.

  • Instructors have used or reviewed this title for the following courses

    • Advanced Seminars in Cognition
    • Topics in Cognitive Processes
  • Editors

    Emmanuel M. Pothos, Swansea University
    Emmanuel M. Pothos is a Reader in the Department of Psychology at Swansea University.

    Andy J. Wills, University of Exeter
    Andy J. Wills is an Associate Professor in the School of Psychology at the University of Exeter.

    Contributors

    Emmanuel M. Pothos, Andy J. Wills, Robert M. Nosofsky, John Paul Minda, J. David Smith, F. Gregory Ashby, Erick J. Paul, W. Todd Maddox, Timothy T. Rogers, James L. McClelland, John K. Kruschke, Evan Livesey, Ian McLaren, Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro, Joshua B. Tenenbaum, Nick Chater, Peter Hines, John V. McDonnell, Todd M. Gureckis, Wayne Iba, Pat Langley, Harlan D. Harris, Bob Rehder, Gregory L. Murphy, Lukas Strnad, Stefano Anzellotti, Alfonso Caramazza, Douglas Medin

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