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9780262062718

Bio-Inspired Artificial Intelligence

by ;
  • ISBN13:

    9780262062718

  • ISBN10:

    0262062712

  • Format: Hardcover
  • Copyright: 2008-09-30
  • Publisher: Mit Pr

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Summary

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 will be available online in October, 2008.

Author Biography

Dario Floreano is Director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology in Lausanne (EPFL). He is the coauthor of Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (MIT Press, 2000).

Claudio Mattiussi is an independent researcher. His research interests include computational intelligence, probabilistic engineering, and the consistent numerical formulation of physical field problems.

Table of Contents

Evolutionary Systemsp. 1
Cellular Systemsp. 101
Neural Systemsp. 163
Developmental Systemsp. 269
Immune Systemsp. 335
Behavioral Systemsp. 399
Collective Systemsp. 515
Conclusionp. 585
Referencesp. 587
Indexp. 651
Table of Contents provided by Blackwell. All Rights Reserved.

Supplemental Materials

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

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