Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity)

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9780195131598: Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity)
Review:

" The book is full of new ideas, new concepts produced by research direction that is at a rather early stage ... The book sums up a new, fascinating way of devloping algorithms, multi-agent systems and robot swarms based on examples of maybe the most successful social systems found on earth. That makes it well worth reading" JASSS

From the Publisher:

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.

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Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy
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ISBN 10: 0195131592 ISBN 13: 9780195131598
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Descripción Oxford University Press. PAPERBACK. Estado de conservación: New. 0195131592 This is a trade paperback. Nº de ref. de la librería 102.W4

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Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy
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Descripción Oxford University Press, 1999. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface1. Introduction2. Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Network3. Division of Labor and Task Allocation4. Cemetery Organization, Brood Sorting, Data Analysis, and Graph Partitioning5. Self-Organization and Templates: Application to Data Analysis and Graph Partitioning6. Nest Building and Self-Assembling7. Cooperative Transport by Insects and Robots8. EpilogueBibliographyIndex. Nº de ref. de la librería ABE_book_new_0195131592

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Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy
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Descripción Oxford University Press, 1999. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0195131592

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Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy
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Descripción Oxford University Press Inc, United States, 1999. Paperback. Estado de conservación: New. 232 x 156 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. Nº de ref. de la librería AAV9780195131598

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Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy
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Descripción Oxford University Press Inc, United States, 1999. Paperback. Estado de conservación: New. 232 x 156 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería AAV9780195131598

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Bonabeau, Eric; Dorigo, Marco; Theraulaz, Guy
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Descripción Oxford University Press, USA, 1999. Paperback. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0195131592

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