Computational Modeling in Cognition
Principles and Practice
- Stephan Lewandowsky - University of Western Australia, Australia, University of Bristol, UK
- Simon Farrell - University of Bristol, UK
Cognitive Psychology (General)
The authors present the content step-by-step by moving from the basic concepts of modeling to issues and application. The book is structured to make clear the logic of individual component techniques and how they relate to each other. The authors focus on the logic of models and the types of arguments that can be made from them, as well as providing detailed practical knowledge about parameter-estimation techniques and model selection and so on. Readability is emphasized throughout to make the necessary mathematics and programming less daunting for beginners. The book's supporting web page provides additional information and programming code.
"[T]his is an excellent introduction to computational modeling. It is written at exactly the right level for its intended readership, and it covers all the essentials very well. I can only encourage anyone with an interest in cognition to work with this book."
This book covers the most essential topics for cognitive modeling.
It does so at a level that a) students can still understand, yet b) the skills/knowledge provided are actually applicable for research.
MATLAB/pseudocode is provided, which is helpful for a start.
Also, the chapters are well written.
Overall, a very good read for students and researcher who want to get into cognitive modeling.
This book offers a great introduction and explanation of advanced statistical methods to research cognition. Along the way it also gives an excellent account of several key statistics constructs that must be understood by all behavioral and social scientists and students.
One of the best books on computational modelling I know!
Sample Materials & Chapters
Chapter 7 - Drawing It All Together: Two Examples