| 书目名称 | Systematic Design for Emergence in Cellular Nonlinear Networks |
| 副标题 | With Applications in |
| 编辑 | Radu Dogaru |
| 视频video | |
| 概述 | Introduction to emergent computation in cellular nonlinear networks.With applications in natural computing and signal processing.Includes supplementary material: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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 |
| 出版日期 | Book 2008 |
| 关键词 | Cellular nonlinear networks; Signal; Simulation; architecture; automata; emergent computation; model; natur |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-76801-2 |
| isbn_softcover | 978-3-642-09549-8 |
| isbn_ebook | 978-3-540-76801-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2008 |
发表于 2025-3-21 17:50:23
