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Intelligent Robotics and Autonomous Agents Ser.: Bio-Inspired Artificial Intelligence : Theories, Methods, and Technologies by Claudio Mattiussi and Dario Floreano (2008, Hardcover)
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By Floreano, Director Dario; Mattiussi, Claudio.
- Buy it nowBio-Inspired Artificial - Hardcover, by Floreano Director Dario; - Acceptable n
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About this product
Product Identifiers
PublisherMIT Press
ISBN-100262062712
ISBN-139780262062718
eBay Product ID (ePID)66016585
Product Key Features
Number of Pages674 Pages
Publication NameBio-Inspired Artificial Intelligence : Theories, Methods, and Technologies
LanguageEnglish
SubjectIntelligence (Ai) & Semantics, Neural Networks, General, System Theory
Publication Year2008
TypeTextbook
AuthorClaudio Mattiussi, Dario Floreano
Subject AreaComputers, Science
SeriesIntelligent Robotics and Autonomous Agents Ser.
FormatHardcover
Dimensions
Item Height1.5 in
Item Weight49.2 Oz
Item Length9.4 in
Item Width8.2 in
Additional Product Features
Intended AudienceTrade
LCCN2008-008739
Dewey Edition22
Reviews"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, "The vast majority of this book is very accessible, engaging to read and easy tofollow. It is definitely a good introduction for anybody interested in biologically inspiredartificial intelligence. In summary, Floreano and Mattiussi deliver a great book that I highlyrecommend." Ivan Garibay Genetic Programming and Evolvable Machines, "Bio-Inspired Artificial Intelligencebrings 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.
IllustratedYes
Dewey Decimal006.3
SynopsisA comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures., 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.
LC Classification NumberQ336.F66 2008
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