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Systematic Design for Emergence in Cellular Nonlinear Networks

With Applications in Natural Computing and Signal Processing

  • Radu Dogaru

Part of the Studies in Computational Intelligence book series (SCI, volume 95)

About this book

Introduction

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.

Keywords

Cellular nonlinear networks Signal Simulation architecture automata emergent computation model natural computing

Authors and affiliations

  • Radu Dogaru
    • 1
  1. 1.Department of Applied Electronics and Information EngineeringPolytechnic University of BucharestBucharestRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-76801-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-76800-5
  • Online ISBN 978-3-540-76801-2
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site