Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies - Intelligent Robotics and Autonomous Agents series (Hardback)
  • Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies - Intelligent Robotics and Autonomous Agents series (Hardback)
zoom

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

(author), (author)
£54.00
Hardback 674 Pages / Published: 22/08/2008
  • Not available

This product is currently unavailable.

  • This item has been added to your basket
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.

Publisher: MIT Press Ltd
ISBN: 9780262062718
Number of pages: 674
Weight: 1383 g
Dimensions: 229 x 203 x 37 mm


MEDIA 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

You may also be interested in...

Machine Learning
Added to basket
£37.99
Paperback
Understanding Machine Learning
Added to basket
Computer Vision
Added to basket
Reinforcement Learning
Added to basket
Machine Learning for Hackers
Added to basket
Deep Learning
Added to basket
£47.99
Paperback
Introducing Artificial Intelligence
Added to basket
Artificial Intelligence: The Basics
Added to basket
Probabilistic Graphical Models
Added to basket
Thoughtful Machine Learning
Added to basket
Programming Computer Vision with Python
Added to basket
Probabilistic Robotics
Added to basket
The Singularity Is Near
Added to basket
Dark Pools
Added to basket
£9.99
Paperback

Please sign in to write a review

Your review has been submitted successfully.