Systematic Design for Emergence in Cellular Nonlinear Networks With Applications in Natural Computing and Signal Processing-
Cellular nonlinear networks are naturally inspired computing architectures where complex dynamic behaviors may emerge as a result of the local or prescribed connectivity among simple cells. Functionally, much like in biology, each cell is defined by a few bits of information called a gene. Such syst...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Natural Computing Paradigms and Emergent Computation
- Cellular Nonlinear Networks: State of the Art and Applications
- Cellular and Natural Computing Models and Software Simulation
- Emergence, Locating and Measuring It
- Exponents of Growth
- Sieves for Selection of Genes According to Desired Behaviors
- Predicting Emergence from Cell’s Structure
- Applications of Emergent Phenomena