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BIO-INSPIRED ARTIFICIAL INTELLIGENCE : THEORIES, METHODS, AND TECHNOLOGIES, By Floreano, Dario , Mattiussi, Claudio || 978-81-203-3935-4 || PHI Learning
BIO-INSPIRED ARTIFICIAL INTELLIGENCE : THEORIES, METHODS, AND TECHNOLOGIES 

BIO-INSPIRED ARTIFICIAL INTELLIGENCE : THEORIES, METHODS, AND TECHNOLOGIES
 MATTIUSSI, CLAUDIO , FLOREANO, DARIO
ISBN: 978-81-203-3935-4
Pages:
Binding: Paper Back


Price: R 595

 
 
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About The Book
Description:

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 coevolving systems. Chapters end with a concluding overview and suggested reading.“Bio-Inspired Artificial Intelligence brings together all the things I’ve been interested in for the last twenty-five 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


Contents:
Contents

Preface
Acknowledgments

1. Evolutionary Systems
2. Cellular Systems
3. Neural Systems
4. Developmental Systems
5. Immune Systems
6. Behavioral Systems
7. Collective Systems

Conclusion
References
Index