000 02892nam a22002417a 4500
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020 _a9780761924500
082 _a153.011
_bBUS
100 _aBusemeyer, Jerome R.
_913405
245 _aCognitive modeling
260 _bSAGE Publications, Inc.
_aCalifornia
_c2010
300 _aix, 211 p.
365 _aUSD
_b125.00
500 _aTable of contents: Preface Acknowledgments 1. Introduction to Cognitive Modeling 2. Qualitative Model Comparisons 3. Nonlinear Parameter Estimation 4. Application to Choice and Response Time Measures 5. Quantitative Model Comparisons 6. Hierarchical Modeling References Index About the Authors
520 _aCognitive Modeling is the first book to provide students with an easy-to understand introduction to the basic methods used to build and test cognitive models. Authors Jerome R. Busemeyer and Adele Diederich answer many of the questions that researchers face when beginning work on cognitive models, such as the following: What makes a cognitive model different from conceptual or statistical models? How do you develop such a model? How can you derive qualitatively different predictions between two cognitive models? Focusing on a few key representations, the authors introduce a basic problem in each chapter, illustrate the concept with three examples, and end with a summary of general principles, making this book by far the most accessible cognitive modeling book on the market. Key Features Emphasizes modeling by presenting the tools needed to build a cognitive model, rather than simply reviewing existing models of cognition Provides tutorial presentations of psychological, mathematical, statistical, and computational methods used in all areas of cognitive modeling Includes detailed examples applied to real cognitive models published in the literature in a variety of areas, including recognition, categorization, decision making, and learning Stresses the importance of designing the right conditions for evaluating models Addresses the issues of individual differences in cognitive modeling head-on Cognitive Modeling is ideal for students and researchers across the various domains of cognitive sciences, including perception, learning, decision making, and inference. It is intended for use in upper-level undergraduate and graduate courses such as Cognition/Cognitive Modeling, Cognitive Science, Cognitive Psychology, Quantitative Methods, and Mathematical Modeling in Psychology. (https://us.sagepub.com/en-us/nam/cognitive-modeling/book226030)
650 _aPsychometrics
_913848
650 _aCognitive psychology
_913849
650 _aPsychology-Mathematical models
_913850
650 _aScaling (Social sciences)
_913851
700 _aDiederich, Adele
_913852
942 _cBK
_2ddc
999 _c5552
_d5552