'I shudder to think about the time I could have saved had this book been available earlier. This educational masterpiece presents classic insights, modern methods, concrete examples, and expert advice; it should be required reading for anybody who seeks to understand human cognition and behavior.' Eric-Jan Wagenmakers, Universiteit van Amsterdam 'This timely book is a must-read for every aspiring student of cognitive modeling. It provides a comprehensive and in-depth coverage of the conceptual and practical foundations of computational cognition, for the beginner and the experienced reader alike. The art of applying all major modeling frameworks, including Bayesian, frequentist, and neural networks, is explained in a most lucid and accessible manner.' Jay Myung, Ohio State University 'An extraordinary achievement: the authors guide the reader from simple ideas about the nature of science to detailed, but lucidly explained, computer models of human behaviour. Associated statistical methods are comprehensively discussed. A pleasure to read.' Philip T. Smith, University of Reading 'Farrell and Lewandowsky have succeeded in their ambition of spanning introductory to cutting-edge material. This book, and a willingness to dive in and learn by doing the exercises provided, is all that undergraduate and graduate students, and even established researchers, need to become a cognitive modeller.' Andrew Heathcote, University of Tasmania, Australia 'Whether you are just setting out on your journey into computational modelling or whether you need to update your skills to incorporate newer and more coherent current practices, Farrell and Lewandowsky's book is likely to earn its place on your bookshelf.' Tom Hartley, Quarterly Journal of Experimental Psychology