Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies
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...
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A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.
1 Evolutionary Systems 12 Cellular Systems 1013 Neural Systems 1634 Developmental Systems 2695 Immune Systems 3356 Behavioral Systems 3997 Collective Systems 515Conclusion 585References 587Index 651
\ From the Publisher"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\ \
