Computational modeling in cognition: principles and practice
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Thousand Oaks
Sage Publications
[2011]
|
| Subjects: | |
| Online Access: | FAW01 FAW02 |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (x, 359 pages) illustrations |
| ISBN: | 9781452223384 1452223386 9781452236193 1452236194 9781483349428 148334942X 9781412970761 1412970768 |
Staff View
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| 505 | 8 | |a An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science | |
| 505 | 8 | |a This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other | |
| 505 | 8 | |a -The book's practical approach shows readers how model construction, parameter estimation, and model selection are carried out in real-world settings | |
| 505 | 8 | |a -An easy-to-follow, step-by-step presentation moves from the basic concepts of modeling to modeling issues and applications | |
| 505 | 8 | |a -The logic of models and the types of arguments that can be made from them are areas of primary focus | |
| 505 | 8 | |a -Programming examples from MATLAB are used to illustrate core concepts | |
| 505 | 8 | |a -A focus on readability makes mathematics and programming less daunting for beginners | |
| 505 | 8 | |a -An author-supported website at http://www.cogsciwa.com/ provides many sample programs mentioned in the book and other tools such as "WMC Battery for MATLAB."--Jacket | |
| 505 | 8 | |a Cover; Contents; Preface; Chapter 1 -- Introduction; Chapter 2 -- From Words to Models: Building a Toolkit; Chapter 3 -- Basic Parameter Estimation Techniques; Chapter 4 -- Maximum Likelihood Estimation; Chapter 5 -- Parameter Uncertainty and Model Comparison; Chapter 6 -- Not Everything That Fits Is Gold: Interpreting the Modeling; Chapter 7 -- Drawing It All Together: Two Examples; Chapter 8 -- Modeling in a Broader Context; References; Author Index; Subject Index; About the Authors | |
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Record in the Search Index
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| author | Lewandowsky, Stephan |
| author_facet | Lewandowsky, Stephan |
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| contents | An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other -The book's practical approach shows readers how model construction, parameter estimation, and model selection are carried out in real-world settings -An easy-to-follow, step-by-step presentation moves from the basic concepts of modeling to modeling issues and applications -The logic of models and the types of arguments that can be made from them are areas of primary focus -Programming examples from MATLAB are used to illustrate core concepts -A focus on readability makes mathematics and programming less daunting for beginners -An author-supported website at http://www.cogsciwa.com/ provides many sample programs mentioned in the book and other tools such as "WMC Battery for MATLAB."--Jacket Cover; Contents; Preface; Chapter 1 -- Introduction; Chapter 2 -- From Words to Models: Building a Toolkit; Chapter 3 -- Basic Parameter Estimation Techniques; Chapter 4 -- Maximum Likelihood Estimation; Chapter 5 -- Parameter Uncertainty and Model Comparison; Chapter 6 -- Not Everything That Fits Is Gold: Interpreting the Modeling; Chapter 7 -- Drawing It All Together: Two Examples; Chapter 8 -- Modeling in a Broader Context; References; Author Index; Subject Index; About the Authors |
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| dewey-full | 153.01/5118 |
| dewey-hundreds | 100 - Philosophy & psychology |
| dewey-ones | 153 - Conscious mental processes & intelligence |
| dewey-raw | 153.01/5118 |
| dewey-search | 153.01/5118 |
| dewey-sort | 3153.01 45118 |
| dewey-tens | 150 - Psychology |
| discipline | Psychologie |
| format | Electronic eBook |
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| id | DE-604.BV043780045 |
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| indexdate | 2024-07-10T07:34:54Z |
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| language | English |
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| spelling | Lewandowsky, Stephan Verfasser aut Computational modeling in cognition principles and practice Stephan Lewandowsky and Simon Farrell Thousand Oaks Sage Publications [2011] © 2011 1 online resource (x, 359 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Print version record An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other -The book's practical approach shows readers how model construction, parameter estimation, and model selection are carried out in real-world settings -An easy-to-follow, step-by-step presentation moves from the basic concepts of modeling to modeling issues and applications -The logic of models and the types of arguments that can be made from them are areas of primary focus -Programming examples from MATLAB are used to illustrate core concepts -A focus on readability makes mathematics and programming less daunting for beginners -An author-supported website at http://www.cogsciwa.com/ provides many sample programs mentioned in the book and other tools such as "WMC Battery for MATLAB."--Jacket Cover; Contents; Preface; Chapter 1 -- Introduction; Chapter 2 -- From Words to Models: Building a Toolkit; Chapter 3 -- Basic Parameter Estimation Techniques; Chapter 4 -- Maximum Likelihood Estimation; Chapter 5 -- Parameter Uncertainty and Model Comparison; Chapter 6 -- Not Everything That Fits Is Gold: Interpreting the Modeling; Chapter 7 -- Drawing It All Together: Two Examples; Chapter 8 -- Modeling in a Broader Context; References; Author Index; Subject Index; About the Authors Cognition / Mathematical models Cognition PSYCHOLOGY / Cognitive Psychology bisacsh SCIENCE / Cognitive Science bisacsh Cognition / Mathematical models fast Mathematisches Modell Cognition Mathematical models Kognitive Psychologie (DE-588)4073586-2 gnd rswk-swf Kognitiver Prozess (DE-588)4140177-3 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Kognition (DE-588)4031630-0 gnd rswk-swf Kognition (DE-588)4031630-0 s Kognitiver Prozess (DE-588)4140177-3 s Kognitive Psychologie (DE-588)4073586-2 s Modellierung (DE-588)4170297-9 s 1\p DE-604 Farrell, Simon 1976- Sonstige oth Erscheint auch als Druck-Ausgabe Lewandowsky, Stephan Computational modeling in cognition 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lewandowsky, Stephan Computational modeling in cognition principles and practice An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other -The book's practical approach shows readers how model construction, parameter estimation, and model selection are carried out in real-world settings -An easy-to-follow, step-by-step presentation moves from the basic concepts of modeling to modeling issues and applications -The logic of models and the types of arguments that can be made from them are areas of primary focus -Programming examples from MATLAB are used to illustrate core concepts -A focus on readability makes mathematics and programming less daunting for beginners -An author-supported website at http://www.cogsciwa.com/ provides many sample programs mentioned in the book and other tools such as "WMC Battery for MATLAB."--Jacket Cover; Contents; Preface; Chapter 1 -- Introduction; Chapter 2 -- From Words to Models: Building a Toolkit; Chapter 3 -- Basic Parameter Estimation Techniques; Chapter 4 -- Maximum Likelihood Estimation; Chapter 5 -- Parameter Uncertainty and Model Comparison; Chapter 6 -- Not Everything That Fits Is Gold: Interpreting the Modeling; Chapter 7 -- Drawing It All Together: Two Examples; Chapter 8 -- Modeling in a Broader Context; References; Author Index; Subject Index; About the Authors Cognition / Mathematical models Cognition PSYCHOLOGY / Cognitive Psychology bisacsh SCIENCE / Cognitive Science bisacsh Cognition / Mathematical models fast Mathematisches Modell Cognition Mathematical models Kognitive Psychologie (DE-588)4073586-2 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Modellierung (DE-588)4170297-9 gnd Kognition (DE-588)4031630-0 gnd |
| subject_GND | (DE-588)4073586-2 (DE-588)4140177-3 (DE-588)4170297-9 (DE-588)4031630-0 |
| title | Computational modeling in cognition principles and practice |
| title_auth | Computational modeling in cognition principles and practice |
| title_exact_search | Computational modeling in cognition principles and practice |
| title_full | Computational modeling in cognition principles and practice Stephan Lewandowsky and Simon Farrell |
| title_fullStr | Computational modeling in cognition principles and practice Stephan Lewandowsky and Simon Farrell |
| title_full_unstemmed | Computational modeling in cognition principles and practice Stephan Lewandowsky and Simon Farrell |
| title_short | Computational modeling in cognition |
| title_sort | computational modeling in cognition principles and practice |
| title_sub | principles and practice |
| topic | Cognition / Mathematical models Cognition PSYCHOLOGY / Cognitive Psychology bisacsh SCIENCE / Cognitive Science bisacsh Cognition / Mathematical models fast Mathematisches Modell Cognition Mathematical models Kognitive Psychologie (DE-588)4073586-2 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Modellierung (DE-588)4170297-9 gnd Kognition (DE-588)4031630-0 gnd |
| topic_facet | Cognition / Mathematical models Cognition PSYCHOLOGY / Cognitive Psychology SCIENCE / Cognitive Science Mathematisches Modell Cognition Mathematical models Kognitive Psychologie Kognitiver Prozess Modellierung Kognition |
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