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Computational Modeling in Cognition: Principles and Practice 1st Edition

5 out of 5 stars 2 customer reviews
ISBN-13: 978-1412970761
ISBN-10: 1412970768
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Editorial Reviews


"[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." (Koen Lamberts 2011-12-05)

About the Author

Stephan Lewandowsky is a Cognitive Psychologist and Australian Professorial Fellow in the School of Psychology at the University of Western Australia.

Simon Farrell QC (call 1983, Silk 2003) specializes in serious and complex commercial fraud, money laundering, and the civil and criminal law of confiscation of assets. He is co-author of Butterworths' Guide to the Proceeds of Crime Act 2002 (published December 2002, and Asset Recovery, Criminal
Confsication, and Civil Recovery (Butterworths, December 2003). Simon is on the Criminal Bar Association's working party which has been monitoring the Fraud Bill.
Guy Ladenburg (call 2000) is a general criminal practitioner with a special interest in fraud as well as licensing matters.
Nicholas Yeo (call 1999) is a general criminal practitioner with particular expertise in fraud and extradition.
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Product Details

  • Paperback: 376 pages
  • Publisher: SAGE Publications, Inc; 1 edition (November 29, 2010)
  • Language: English
  • ISBN-10: 1412970768
  • ISBN-13: 978-1412970761
  • Product Dimensions: 6 x 0.9 x 8.9 inches
  • Shipping Weight: 12.8 ounces (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #920,900 in Books (See Top 100 in Books)

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Top Customer Reviews

By Nathaniel Phillips on February 7, 2013
Format: Paperback
This is a very welcome introductory text that fills a gaping gap in the literature. In the past 10 years, computational modeling has moved from a niche area of psychology (and other fields) into the main stream. This book covers most of the essentials, from the philosophy of computational modeling, to maximum-likelihood estimation, to model comparison. Throughout the book, the authors show the reader how to balance theoretical integration and model parsimony with statistical fit. Indeed, even if you never go through the steps of creating and testing models, this lesson will serve you well in all areas of scientific reasoning.

Armed with this book, a free copy of the statistics programming language R (and of course some data), you'll be off and running in no time. I highly recommend this book for motivated undergraduate students and all graduate students studying computational cognitive modeling.

One more thing - the authors are great, if you have questions while working through the book I'm sure they would be happy to answer them.
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Format: Paperback Verified Purchase
This is one of the best books I've read on computational modeling in psychology. Lewandowsky and Farrell show how to do the computations, using MATLAB code, and they present everything in a clear, accessible, thoughtful, and witty manner. I was hooked with the picture of the orbits of planets as seen from earth to make the point that, without a theoretical model (in this case of planetary motion), the data can be incredibly complex, and they continue with the same level of interesting and well-informed exposition throughout. Reading this is like seeing something clearly for the first time.
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