Formal approaches in categorization /:
"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 catego...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2011.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 1 online resource (xii, 336 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780511860843 0511860846 9780511921322 0511921322 9780511859106 0511859104 0511861648 9780511861642 1107213665 9781107213661 1283006227 9781283006224 9786613006226 661300622X 0511857365 9780511857362 |
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| 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 2011. | ||
| 300 | |a 1 online resource (xii, 336 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |g 1. |t Introduction / |r Emmanuel M. Pothos, |r Andy J. Wills -- |g 2. |t The generalized context model : an exemplar model of classification / |r Robert M. Nosofsky -- |g 3. |t Prototype models of categorization : basic formulation, predictions, and limitations / |r John Paul Minda, |r J. David Smith -- |g 4. |t COVIS / |r F. Gregory Ashby, |r Erick J. Paul, |r W. Todd Maddox -- |g 5. |t Semantics without categorization / |r Timothy T. Rogers, |r James L. McClelland -- |g 6. |t Models of attentional learning / |r John K. Kruschke -- |g 7. |t An elemental model of associative learning and memory / |r Evan Livesey, |r Ian McLaren -- |g 8. |t Nonparametric Bayesian models of categorization / |r Thomas L. Griffiths, |r Adam N. Sanborn, |r Kevin R. Canini, |r Daniel J. Navarro, |r Joshua B. Tenenbaum -- |g 9. |t The simplicity model of unsupervised categorization / |r Emmanuel M. Pothos, |r Nick Chater, |r Peter Hines -- |g 10. |t Adaptive clustering models of categorization / |r John V. McDonnell, |r Todd M. Gureckis -- |g 11. |t COBWEB models of categorization and probabilistic concept formation / |r Wayne Iba, |r Pat Langley -- |g 12. The knowledge and resonance (KRES) model of category learning / |r Harlan D. Harris, |r Bob Rehder -- |g 13. |g The contribution (and drawbacks) of models to the study of concepts / |r Gregory L. Murphy -- |g 14. |t Formal models of categorization : insights from cognitive neuroscience / |r Lukas Strnad, |r Stefano Anzellotti, |r Alfonso Caramazza -- |g 15. |t Comments on models and categorization theories : the razor's edge / |r Douglas Medin. |
| 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 | ||
| 546 | |a English. | ||
| 650 | 0 | |a Categorization (Psychology) |0 http://id.loc.gov/authorities/subjects/sh85020994 | |
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| 650 | 7 | |a SCIENCE |x Cognitive Science. |2 bisacsh | |
| 650 | 7 | |a Categorization (Psychology) |2 fast | |
| 700 | 1 | |a Pothos, Emmanuel M., |d 1973- |0 http://id.loc.gov/authorities/names/n2010071200 | |
| 700 | 1 | |a Wills, A. J. |q (Andy J.) |0 http://id.loc.gov/authorities/names/n2004094107 | |
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| 776 | 0 | 8 | |i Print version: |t Formal Approaches in Categorization. |d Cambridge ; New York : Cambridge University Press, 2011, ©2011 |z 9780521190480 |w (DLC) 2010045712 |w (OCoLC)663441122 |
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Datensatz im Suchindex
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| _version_ | 1816881753430687744 |
| adam_text | |
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| author2 | Pothos, Emmanuel M., 1973- Wills, A. J. (Andy J.) |
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| author_GND | http://id.loc.gov/authorities/names/n2010071200 http://id.loc.gov/authorities/names/n2004094107 |
| author_additional | 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. |
| author_facet | Pothos, Emmanuel M., 1973- Wills, A. J. (Andy J.) |
| author_sort | Pothos, Emmanuel M., 1973- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | B - Philosophy, Psychology, Religion |
| callnumber-label | BF445 |
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| callnumber-search | BF445 .F66 2011eb |
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| callnumber-subject | BF - Psychology |
| collection | ZDB-4-EBA |
| contents | Introduction / The generalized context model : an exemplar model of classification / Prototype models of categorization : basic formulation, predictions, and limitations / COVIS / Semantics without categorization / Models of attentional learning / An elemental model of associative learning and memory / Nonparametric Bayesian models of categorization / The simplicity model of unsupervised categorization / Adaptive clustering models of categorization / COBWEB models of categorization and probabilistic concept formation / Formal models of categorization : insights from cognitive neuroscience / Comments on models and categorization theories : the razor's edge / |
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| dewey-raw | 153.2 |
| dewey-search | 153.2 |
| dewey-sort | 3153.2 |
| dewey-tens | 150 - Psychology |
| discipline | Psychologie |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn706489290 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:44Z |
| institution | BVB |
| isbn | 9780511860843 0511860846 9780511921322 0511921322 9780511859106 0511859104 0511861648 9780511861642 1107213665 9781107213661 1283006227 9781283006224 9786613006226 661300622X 0511857365 9780511857362 |
| language | English |
| lccn | 2010045712 |
| oclc_num | 706489290 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 336 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2011 |
| publishDateSearch | 2011 |
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| publisher | Cambridge University Press, |
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| spelling | Formal approaches in categorization / Emmanuel M. Pothos, Andy J. Wills, editors. Cambridge ; New York : Cambridge University Press, 2011. 1 online resource (xii, 336 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references and index. Print version record. 1. Introduction / Emmanuel M. Pothos, 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, J. David Smith -- 4. COVIS / F. Gregory Ashby, Erick J. Paul, W. Todd Maddox -- 5. Semantics without categorization / Timothy T. Rogers, James L. McClelland -- 6. Models of attentional learning / John K. Kruschke -- 7. An elemental model of associative learning and memory / Evan Livesey, Ian McLaren -- 8. Nonparametric Bayesian models of categorization / Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro, Joshua B. Tenenbaum -- 9. The simplicity model of unsupervised categorization / Emmanuel M. Pothos, Nick Chater, Peter Hines -- 10. Adaptive clustering models of categorization / John V. McDonnell, Todd M. Gureckis -- 11. COBWEB models of categorization and probabilistic concept formation / Wayne Iba, Pat Langley -- 12. The knowledge and resonance (KRES) model of category learning / Harlan D. Harris, 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, Alfonso Caramazza -- 15. Comments on models and categorization theories : the razor's edge / Douglas Medin. "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"-- Provided by publisher English. Categorization (Psychology) http://id.loc.gov/authorities/subjects/sh85020994 Catégorisation (Psychologie) PSYCHOLOGY Cognitive Psychology. bisacsh SCIENCE Cognitive Science. bisacsh Categorization (Psychology) fast Pothos, Emmanuel M., 1973- http://id.loc.gov/authorities/names/n2010071200 Wills, A. J. (Andy J.) http://id.loc.gov/authorities/names/n2004094107 EBL Print version: Formal Approaches in Categorization. Cambridge ; New York : Cambridge University Press, 2011, ©2011 9780521190480 (DLC) 2010045712 (OCoLC)663441122 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=347852 Volltext |
| spellingShingle | Formal approaches in categorization / Introduction / The generalized context model : an exemplar model of classification / Prototype models of categorization : basic formulation, predictions, and limitations / COVIS / Semantics without categorization / Models of attentional learning / An elemental model of associative learning and memory / Nonparametric Bayesian models of categorization / The simplicity model of unsupervised categorization / Adaptive clustering models of categorization / COBWEB models of categorization and probabilistic concept formation / Formal models of categorization : insights from cognitive neuroscience / Comments on models and categorization theories : the razor's edge / Categorization (Psychology) http://id.loc.gov/authorities/subjects/sh85020994 Catégorisation (Psychologie) PSYCHOLOGY Cognitive Psychology. bisacsh SCIENCE Cognitive Science. bisacsh Categorization (Psychology) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85020994 |
| title | Formal approaches in categorization / |
| title_alt | Introduction / The generalized context model : an exemplar model of classification / Prototype models of categorization : basic formulation, predictions, and limitations / COVIS / Semantics without categorization / Models of attentional learning / An elemental model of associative learning and memory / Nonparametric Bayesian models of categorization / The simplicity model of unsupervised categorization / Adaptive clustering models of categorization / COBWEB models of categorization and probabilistic concept formation / Formal models of categorization : insights from cognitive neuroscience / Comments on models and categorization theories : the razor's edge / |
| title_auth | Formal approaches in categorization / |
| title_exact_search | Formal approaches in categorization / |
| title_full | Formal approaches in categorization / Emmanuel M. Pothos, Andy J. Wills, editors. |
| title_fullStr | Formal approaches in categorization / Emmanuel M. Pothos, Andy J. Wills, editors. |
| title_full_unstemmed | Formal approaches in categorization / Emmanuel M. Pothos, Andy J. Wills, editors. |
| title_short | Formal approaches in categorization / |
| title_sort | formal approaches in categorization |
| topic | Categorization (Psychology) http://id.loc.gov/authorities/subjects/sh85020994 Catégorisation (Psychologie) PSYCHOLOGY Cognitive Psychology. bisacsh SCIENCE Cognitive Science. bisacsh Categorization (Psychology) fast |
| topic_facet | Categorization (Psychology) Catégorisation (Psychologie) PSYCHOLOGY Cognitive Psychology. SCIENCE Cognitive Science. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=347852 |
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