Swarm Intelligence
From Natural to Artificial Systems
(Sprache: Englisch)
This is the first book in the Santa Fe Institute Studies in the Sciences of complexity since Oxford took over the publishing of this series from Addison-Wesley. This book presents a unique combination of biology and computer science (including artificial...
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Produktinformationen zu „Swarm Intelligence “
This is the first book in the Santa Fe Institute Studies in the Sciences of complexity since Oxford took 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.
Klappentext zu „Swarm Intelligence “
Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behaviour and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. 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.
Inhaltsverzeichnis zu „Swarm Intelligence “
- 1: Introduction
- 2: Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks
- 3: Division of Labor and Task Allocation
- 4: Cemetery Organization, Brood Sorting, Data Analysis, and Graph Partitioning
- 5: Self-Organization and Templates: Application to Data Analysis and Graph Partitioning
- 6: Nest Building and Self-Assembling
- 7: Cooperative Transport by Insects and Robots
- 8: Epilogue
Bibliographische Angaben
- Autoren: Eric Bonabeau , Guy Theraulaz , Marco Dorigo
- 1999, 320 Seiten, Maße: 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Oxford University Press
- ISBN-10: 0195131592
- ISBN-13: 9780195131598
Sprache:
Englisch
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