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Dario Floreano
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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents)

4.5 4.5 out of 5 stars 24 ratings
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A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

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  1. ISBN-10
    0262062712
  2. ISBN-13
    978-0262062718
  3. Publisher
    MIT Press
  4. Publication date
    September 1, 2008
  5. Part of series
    Intelligent Robotics and Autonomous Agents
  6. Language
    English
  7. Dimensions
    9.24 x 8.2 x 1.45 inches
  8. Print length
    659 pages
  9. See all details
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Editorial Reviews

Review

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

Product details

  • Publisher ‏ : ‎ MIT Press (September 1, 2008)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 659 pages
  • ISBN-10 ‏ : ‎ 0262062712
  • ISBN-13 ‏ : ‎ 978-0262062718
  • Reading age ‏ : ‎ 18 years and up
  • Grade level ‏ : ‎ 12 and up
  • Item Weight ‏ : ‎ 3 pounds
  • Dimensions ‏ : ‎ 9.24 x 8.2 x 1.45 inches
  • Customer Reviews:
    4.5 4.5 out of 5 stars 24 ratings

About the authors

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  1. Dario Floreano

    Dario Floreano

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    Full content visible, double tap to read brief content.

    Dario Floreano is professor of intelligent systems at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland. He has bee the founding director of the Swiss National Center of Competence in Robotics, a 12-year program that substantially contributed to bring Switzerland at the international forefront of intelligent robotics research, education, and business. He co-authored more than 500 peer-reviewed articles and helped bootstrap and grow several companies in intelligent robotics.

    Dario holds an M.A. in Visual Psychophysics, an M.S. in Neural Computation, and a PhD in Robotics. He held visiting fellowships at Sony Computer Science Laboratory in Tokyo, at Caltech/JPL in Pasadena, and at Harvard University in Boston. He received several international awards for pioneering contributions to evolutionary robotics, aerial robotics, and soft robotics.

    He co-authored books on Artificial Neural Networks (il Mulino, in Italian, two editions), Evolutionary Robotics (MIT Press), Bio-inspired Artificial Intelligence (MIT Press) and Bio-inspired Flying Robots (Springer). His latest book with MIT Press "Tales from a Robotic World: How intelligent machines will shape our future" unveils robotics research brewing in labs around the world through stories of their deployment in a not-too-distant future.

    See more on the author's page
  2. Claudio Mattiussi

    Claudio Mattiussi

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    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

    See more on the author's page
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Customer reviews

4.5 out of 5 stars
24 global ratings

Top reviews from the United States

Y. Jeong
5.0 out of 5 stars Perfect
Reviewed in the United States on April 20, 2011
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.
8 people found this helpful
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Maura
5.0 out of 5 stars fairly easy to understand
Reviewed in the United States on July 16, 2014
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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.
4 people found this helpful
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Wieslaw
4.0 out of 5 stars Not for me!
Reviewed in the United States on January 20, 2013
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Only the small part of the book, concerning connectionist architecture, covers the field of my interest. Any way, the book gives solid review state of the art of AI.
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Jennifer Greenberg
5.0 out of 5 stars Five Stars
Reviewed in the United States on November 16, 2017
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Works well!
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April
3.0 out of 5 stars A decent conceptual overview
Reviewed in the United States on May 2, 2012
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THIS BOOK IS: a conceptual overview of many different algorithms (emphasis on the "conceptual"). It has lots of information on the biological inspiration that is interesting, albeit unnecessary in the field of Optimization and AI.

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.
4 people found this helpful
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J. Dunker
5.0 out of 5 stars Five Stars
Reviewed in the United States on October 25, 2016
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Good reference
One person found this helpful
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Lappoon Rupert Tang
5.0 out of 5 stars Five Stars
Reviewed in the United States on November 15, 2014
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Good book upon arrival; timing is good.
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GCHEN
5.0 out of 5 stars Five Stars
Reviewed in the United States on March 6, 2015
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it is very good.fast and excellent
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Amazon Customer
5.0 out of 5 stars A Deniz
Reviewed in Spain on October 31, 2022
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Gracias
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Andrea M
5.0 out of 5 stars Ein sehr guter vollständiger Überblick über Bio-inspired Methoden
Reviewed in Germany on December 28, 2015
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Ein vollständiger Überblick über Bio-inspired Methoden (evolutionäre Algorithmen, ANNs, Pheromon basiert, usw.).
Sehr sehr Gut, unbedingt für die Studierende im Bereich CS/AI.
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Miroslav
5.0 out of 5 stars Best review of the current state of the art
Reviewed in Canada on June 24, 2013
Verified Purchase
Best review of the current state of the art that I have found so far. Written in fairly clean language so it was almost completely understandable even to layman like me. It has a lot of useful material, not only for pondering, but ready for test and implementation. This book gives a lot of good ideas for evaluation.
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