- Series: Intelligent Robotics and Autonomous Agents series
- Hardcover: 659 pages
- Publisher: The MIT Press (August 22, 2008)
- Language: English
- ISBN-10: 0262062712
- ISBN-13: 978-0262062718
- Product Dimensions: 8 x 1.2 x 9 inches
- Shipping Weight: 3 pounds (View shipping rates and policies)
- Average Customer Review: 11 customer reviews
- Amazon Best Sellers Rank: #1,205,202 in Books (See Top 100 in Books)
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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series)
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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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Top customer reviews
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If you want to develop something they completely missed, you need this book and read through entire chapters. This would be better than download and read hundred-hundred papers from IEEE or any journal publishers.
This book is well written, fairly easy to understand, and very interesting. It's heavy on the robotics, especially in the second half.
If you have any interest in biology or computer science, I recommend at least leafing through this book.
THIS BOOK IS NOT: a recipe of algorithms, complete with flow-charts, pseudocode, and "lessons-learned". If you're new to Optimization and AI, this book will certainly get you pointed in the right direction.
I gave this book book 3 stars because it's well researched, well organized, and well written, but I didn't find it all that useful.
Most recent customer reviews
Also, the authors do a poor job of explaining variables in equations which make them almost impossible to...Read more
and clever presentation of the field.Read more