Swarm intelligence : from natural to artificial isystems / Eric Bonabeau, Marco Dorigo, Guy Theraulaz.

By:

Bonabeau, Eric

Contributor(s):

Material type: Text

TextPublication details: New York : Oxford University Press, 1999.Description: 1 online resource (xii, 307 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

1423738802
9781423738800
9780195131581
0195131584
9780195131598
0195131592
1280472774
9781280472770
0198030150
9780198030157
9780190208196
0190208198

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Swarm intelligence.DDC classification:

006.3 21

LOC classification:

Q335 .B59 1999eb

Other classification:

42.75
42.66
54.72
PN 96
FY 25
ST 300
WQ 3096
WT 3821
WT 3900
BIO 829f
DAT 700f
PHY 825f
PSY 800f

Online resources:

Click here to access online

Contents:

Ch. 1. Introduction -- Ch. 2. Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Network -- Ch. 3. Division of Labor and Task Allocation -- Ch. 4. Cemetery Organization, Brood Sorting, Data Analysis, and Graph Partitioning -- Ch. 5. Self-Organization and Templates: Application to Data Analysis and Graph Partitioning -- Ch. 6. Nest Building and Self-Assembling -- Ch. 7. Cooperative Transport by Insects and Robots -- Ch. 8. Epilogue.

Review: "This book provides a detailed look at models of social insect behavior 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.Summary: 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.Summary: The book will be an invaluable resource for a broad range of disciplines."--Jacket.

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Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 275-296) and index.

"This book provides a detailed look at models of social insect behavior 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."--Jacket.

Print version record.

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