Bio-inspired artificial intelligence
theories, methods, and technologies
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Author
Contributions
- Mattiussi, Claudio. - Contributor
Publication
2009 - MIT Press, Cambridge, MA, Massachusetts
Language
English
Word Count
164,750 words, Guess
Page Count
659 pages
Identifiers
- Internet Archivebioinspiredartif00flor
- Internet Archivebioinspiredartif00flor_727
- Internet Archivebioinspiredartif00flor_241
- Internet Archivebioinspiredartif0000flor
- Internet Archivebioinspiredartif00flor_898
and 8 more
- ISBN-139780262062718
- ISBN-100262062712
- Goodreads4941574
- LibraryThing6987918
- Library of Congress Control Number2008008739
- OCLC Control Number212627224
- Better World Books9780262062718
- Open LibraryOL16637822M
Classifications
- DDC006.3
- LCCQ336 .F66 2008
- LCCQ336.F66 2008
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 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, such as behavior-based, biomimetic, 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."--Jacket.
Subjects
Series Statement
- Intelligent robotics and autonomous agents series
Other Editions
- Bio-inspired artificial intelligence: theories, methods, and technologies
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