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.
| ISBN: | 9783642096426 |
| Publication date: | 18th November 2010 |
| Author: | Rolf P Würtz |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 355 pages |
| Series: | Understanding Complex Systems |
| Genres: |
Cybernetics and systems theory Neurosciences Engineering: Mechanics of solids Artificial intelligence Maths for engineers |
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.
Organic Computing features in the following genres: Cybernetics and systems theory, Neurosciences, Engineering: Mechanics of solids, Artificial intelligence, Maths for engineers
Organic Computing is available in Paperback
Organic Computing was written by Rolf P Würtz and published by Springer an imprint of Springer Berlin Heidelberg
Organic Computing has 355 pages
Yes it is part of Understanding Complex Systems series
£116.99