Organic Computing
Language: English
Published by Springer Berlin Heidelberg, 2010
- Softcover
- New
Condition: New
£ 129.81
Quantity: 1 available
Add to basketItem description from seller
Brings together the state of the art in organic computingIncludes articles by Christoph von der Malsburg, Klaus Mainzer, or Richard Bellmanns (the inventor of dynamic programming) daughter Kirstie setting the foundations regarding brain-org.
Seller Inventory # 5048646
- Title
- Organic Computing
- Author
- Würtz, Rolf P.
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2010
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642096425
- ISBN 13
- 9783642096426
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.
"About the title" may belong to another edition of this title.
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