Swarm Intelligence
From Natural to Artificial Systems
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Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.
This book tooks over the publishing of this series from Addison-Wesley. This book presents a unique combination of biology and computer science (including artificial intelligence, robotics, operations research, information display, and computer graphics), modelling the mechanisms underlying collective behaviour in social insects. Swarm intelligence is a new and rapidly developing subfield of artificial intelligence, and this book will be one of the central documents of this emerging subfield. The book should apeal to a broadly interdisciplinary audience of modellers, engineers, neuroscientists, and computer scientists, as well as some biologists and ecologists.
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