Cambridge Handbook of Computational Cognitive Sciences
Produktdetaljer
Biografisk notat
Ron Sun is Professor of Cognitive Science at Rensselaer Polytechnic Institute, New York. He has published numerous papers and books in cognitive sciences, including The Cambridge Handbook of Computational Psychology (Cambridge University Press, 2008). He was the recipient of the 1991 David Marr Award from Cognitive Science Society and the 2008 Hebb Award from International Neural Networks Society. He is a fellow of APS, IEEE, and other professional organizations.'Ron Sun shines fresh light on the complex mechanisms underlying human cognition, marshaling expositions from a broad range of experts. Volume 1 shows the diversity of paradigms that can be employed, from neural networks to Bayesian methods to dynamic systems, and then shows how these can be applied to model the underlying mechanisms. While these chapters alone would be worth the price of admission, Volume 2 then offers a rich array of further payoffs in areas ranging from vision, motor control and emotion to creativity and, even, morality.' Michael Arbib, University of Southern California, USA
'The Cambridge Handbook of Computational Cognitive Sciences is a great collection of useful chapters. Ron Sun has recruited a stellar set of authors. It will be an excellent resource for cognitive modeling and psychology. It belongs on every modeller's bookshelf and in their library. This book will be very helpful in my and my students' work. I want to read all the chapters, and I will need to read and cite most of them.' Frank Ritter, Pennsylvania State University, USA
'Computational models have been central to cognitive science since the 1950s, making important contributions to the design and testing of theoretical explanations of mind. Through chapters by an army of leading experts, this Handbook provides a remarkably broad overview of computational modeling. Researchers and students in cognitive science will find it indispensable.' Paul Thagard, University of Waterloo, Canada
'The original edition of this work was an invaluable starting point by which nonspecialists could find their way into this domain. Now, extensively revised and expanded from its original 753 pages to 1307 pages, it deserves careful attention by researchers and students alike.' H. Van Dyke Parunak, Computing Reviews