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 Location:  Home » Books » Artificial Intelligence » Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents)January 9, 2009  
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Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents)
Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents)
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Authors: Dario Floreano, Claudio Mattiussi
Publisher: The MIT Press
Category: Book

List Price: $50.00
Buy New: $36.00
You Save: $14.00 (28%)
Buy New/Used from $32.99

Avg. Customer Rating: 5.0 out of 5 stars(1 reviews)
Sales Rank: 208921

Languages: English (Original Language), English (Unknown), English (Published)
Media: Hardcover
Number Of Items: 1
Pages: 659
Shipping Weight (lbs): 3
Dimensions (in): 9.1 x 8 x 1.4

ISBN: 0262062712
Dewey Decimal Number: 006.3
EAN: 9780262062718
ASIN: 0262062712

Publication Date: September 30, 2008
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description
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.

A teacher's kit with slides and exercises is available online at http://baibook.epfl.ch/



Customer Reviews:

5 out of 5 stars A very cohearent covering of a large territory understandable even to a layperson   January 5, 2009
  1 out of 1 found this review helpful

www.gabrielfalco.com
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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