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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series) Hardcover – August 22, 2008

ISBN-13: 978-0262062718 ISBN-10: 0262062712

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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series) + Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (Intelligent Robotics and Autonomous Agents series)
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Product Details

  • 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 1.1 x 9 inches
  • Shipping Weight: 3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Best Sellers Rank: #641,303 in Books (See Top 100 in Books)

Editorial Reviews

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

(Rod Brooks)

" 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

Customer Reviews

Figures and explanations are very well chosen and the level is easy to follow.
Ricard Vicente Sole
If you have any interest in biology or computer science, I recommend at least leafing through this book.
Becca
This would be better than download and read hundred-hundred papers from IEEE or any journal publishers.
Y. Jeong

Most Helpful Customer Reviews

12 of 14 people found the following review helpful By Gabriel Falco on January 5, 2009
Format: Hardcover
[...]
Concepts detailed in this text have become pillars of my thinking. Every year I purchase several textbooks to educate myself on topics that interest me. Bio-Inspired Artificial Intelligence balances delivering conceptual detail with real world integrated examples to aid in deep and successful comprehension of the topics. The text answers questions, informs and prompts one ask broader questions. Incredibly, it is actually very enjoyable to read; I think this may have to do with the good writing.
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5 of 5 people found the following review helpful By Y. Jeong on April 20, 2011
Format: Hardcover Verified Purchase
As an A.I. developer myself, I have to admit this book is perfect. This book summarizes countless journal papers from biological to computer science journals. It gives you the research trend and how they missed something and what kind of A.I. you could develop for your own project.

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.
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3 of 3 people found the following review helpful By Ricard Vicente Sole on June 1, 2012
Format: Hardcover
This is the kind of book you expect to find when you buy it. A complete, concise, well-written
and clever presentation of the field. The authors have made a terrific job and I strongly recommend you this book as one of the best (probably the best) introduction to this topic. Figures and explanations are very well chosen and the level is easy to follow. 5 starts!!
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1 of 1 people found the following review helpful By Becca on July 16, 2014
Format: Hardcover Verified Purchase
I needed to purchase this for a college course, but I've read it probably three times since then.

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.
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By G. Chen on March 6, 2015
Format: Hardcover Verified Purchase
it is very good.fast and excellent
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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series)
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