Download Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series) By Dario Fl
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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series) By Dario Fl
Download Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series) By Dario Fl
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- Amazon Sales Rank: #856151 in Books
- Published on: 2008-08-22
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.19" w x 8.00" l, 3.06 pounds
- Binding: Hardcover
- 659 pages
Review
Competent, lucid, well-written, Bio-Inspired Artificial Intelligence contains precisely the material you want from a comprehensive textbook, with many highly informative examples from biology, engineering, and computing. This book has the potential to become the new standard in the artificial intelligence field.
(Rolf Pfeifer, Director, Artificial Intelligence Laboratory, University of Zurich)Bio-Inspired Artificial Intelligence brings together all the things I've been interested in for the last 25 years, and surprises me by providing a coherent intellectual framework for them all. This book is a treasure trove of history from Darwin to Gibson and Walter, an unambiguous tutorial on how to build a plethora of computational models, and a healthy exploration of the philosophies that have driven wide ranging research agendas.
(Rodney Brooks, Panasonic Professor of Robotics, Department of Electrical Engineering and Computer Science, MIT)The vast majority of this book is very accessible, engaging to read and easy to follow. It is definitely a good introduction for anybody interested in biologically inspired artificial intelligence. In summary, Floreano and Mattiussi deliver a great book that I highly recommend.
(Ivan Garibay Genetic Programming and Evolvable Machines)About the Author Dario Floreano is Director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology in Lausanne (EPFL). He is the coauthor of Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (MIT Press, 2000).Claudio Mattiussi is an independent researcher. His interests include evolutionary computation, evolutionary electronics, artificial immune systems, cellular systems, developmental systems, machine learning, probabilistic and bio-inspired intelligence and engineering, and the consistent numerical formulation of physical field problems
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