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Cognitive Modeling

by Jerome R Busemeyer and Adele Diederich SAGE Publications, Inc
Pub Date:
04/2009
ISBN:
9780761924500
Format:
Pbk 224 pages
Price:
AU$152.00 NZ$155.65
Product Status: In Stock Now
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Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.

KEY FEATURES:
-Outstanding AAA authorship will lend authority to the book. As confirmed by reviewers, the authors are considered stars within the fields of mathematical and cognitive psychology, with clear strengths as researchers, writers, presenters, and teachers.
-A student-friendly tone with concrete examples will make this much more accessible than the current intimidating and mathematically sophisticated books on the market. Each of the core chapters will introduce a basic problem, illustrate the concept with three examples, and end with a summary of general principles.
-An accompanying web site with relevant and relevant and downloadable programs and data sets will allow students to practice the concepts they are learning from the book using such software packages as SAS SPSS, Matlab, and Mathematica.
-A focus on how to do cognitive modeling, with selected models rather than a catalog of all current models, equips students with broadly applicable tools and methods for understanding cognitive models, in general. In the Introduction the authors will explain their rationale for the models they’ve selected.
-Broad applicability makes this book suitable for students and researchers across the various domains of cognitive sciences, e.g., perception, learning, decision-making , inference, etc.

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

Jerome R. Busemeyer - Indiana University, Bloomington

Adele Diederich - International University Bremen, Germany