Books > Computing & IT > Applications of computing > Artificial intelligence
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Bio-Inspired Artificial Intelligence - Theories, Methods, and Technologies (Hardcover)
Loot Price: R1,904
Discovery Miles 19 040
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Bio-Inspired Artificial Intelligence - Theories, Methods, and Technologies (Hardcover)
Series: Intelligent Robotics and Autonomous Agents series
Expected to ship within 12 - 17 working days
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Total price: R1,924
Discovery Miles: 19 240
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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. 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.
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