Authors:
- Introduction to emergent computation in cellular nonlinear networks
- With applications in natural computing and signal processing
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 95)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
About this book
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 systems may be used in signal processing applications (intelligent sensors) or may be used to model and understand natural systems. While many publications focus on the dynamics in cellular automata and various applications, less deal with an important problem, that of designing for emergence. Put in simple words: How to choose a cell such that a desired behavior will occur in the cellular system.
This book proposes a systematic framework for measuring emergence and a systematic design method to locate computationally meaningful genes in a reasonable computing time. Programs and application examples are provided so that the reader may easily understand the new concepts and develop her own specific experiments. An accessible language recommends it to a large audience including specialists from various interdisciplinary fields who may benefit from a better understanding of emergence and its applications to their specific field.
Authors and Affiliations
-
Department of Applied Electronics and Information Engineering, Polytechnic University of Bucharest, Bucharest, Romania
Radu Dogaru
Bibliographic Information
Book Title: Systematic Design for Emergence in Cellular Nonlinear Networks
Book Subtitle: With Applications in Natural Computing and Signal Processing-
Authors: Radu Dogaru
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-76801-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-76800-5Published: 01 February 2008
Softcover ISBN: 978-3-642-09549-8Published: 30 November 2010
eBook ISBN: 978-3-540-76801-2Published: 12 January 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 166
Number of Illustrations: 80 b/w illustrations
Topics: Artificial Intelligence, Mathematical and Computational Engineering