Swarm intelligence : from natural to artificial systems / Eric Bonabeau, Marco Dorigo, Guy Theraulaz
By: Bonabeau, Eric [author]
Contributor(s): Dorigo, Marco [author] | Theraulaz, Guy [author]
Material type: TextLanguage: İngilizce Series: Santa Fe Institute studies in the sciences of complexityPublisher: New York : Oxford University Press, 1999Copyright date: ©1999Description: xii, 307 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 0195131584; 9780195131581; 0195131592; 9780195131598Subject(s): Artificial intelligence | Swarm intelligence | Insect societies | Insects -- Psychology | Biological models | Artificial intelligences | biologie | systeme multi-agent | intelligence artificielle | résolution problème | algorithme fourmi artificielle | intelligence en essaim | UXC: Artificial intelligenceLOC classification: Q335 | .B6633 1999Item type | Current location | Home library | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|---|
Book | Merkez Kütüphane Genel Koleksiyon / Main Collection | Merkez Kütüphane | Genel Koleksiyon | Q335 .B59 1999 (Browse shelf) | 1 | Ödünç Verilemez-Düşüm Onayında / Not For Loan-Withdrawal In Process | 0013334 | |
Book | Merkez Kütüphane Genel Koleksiyon / Main Collection | Merkez Kütüphane | Genel Koleksiyon | Q335 .B6633 1999 c.2 (Browse shelf) | 2 | Available | 0069405 |
Includes bibliographical references and index.
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
"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
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