Overview
- Brings together the state of the art in organic computing
- Includes articles by Christoph von der Malsburg, Klaus Mainzer, or Richard Bellmanns (the inventor of dynamic programming) daughter Kirstie setting the foundations regarding brain-organization, emergence, and selforganization
- Demonstrates the mechanisms of "Learning from Nature" which is a founding principle of Organic Computing
- The presented projects are building on work done in brain theory, neural networks, evolutionary computation, optimization, and network theory
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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About this book
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.
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Keywords
Table of contents (15 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Organic Computing
Authors: Rolf P. Würtz
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-540-77657-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-77656-7Published: 28 March 2008
Softcover ISBN: 978-3-642-09642-6Published: 18 November 2010
eBook ISBN: 978-3-540-77657-4Published: 21 October 2008
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XI, 355
Topics: Complex Systems, Vibration, Dynamical Systems, Control, Artificial Intelligence, Neurosciences, Mathematical and Computational Engineering, Dynamical Systems and Ergodic Theory