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Titlebook: Systematic Design for Emergence in Cellular Nonlinear Networks; With Applications in Radu Dogaru Book 2008 Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-21 17:50:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Systematic Design for Emergence in Cellular Nonlinear Networks
副標(biāo)題With Applications in
編輯Radu Dogaru
視頻videohttp://file.papertrans.cn/885/884594/884594.mp4
概述Introduction to emergent computation in cellular nonlinear networks.With applications in natural computing and signal processing.Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Systematic Design for Emergence in Cellular Nonlinear Networks; With Applications in Radu Dogaru Book 2008 Springer-Verlag Berlin Heidelber
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
關(guān)鍵詞Cellular nonlinear networks; Signal; Simulation; architecture; automata; emergent computation; model; natur
版次1
doihttps://doi.org/10.1007/978-3-540-76801-2
isbn_softcover978-3-642-09549-8
isbn_ebook978-3-540-76801-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
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ich includes both the hardware and the software. This paper addresses a number of reliability characteristics and concepts for hardware and software which have proven useful in the development of reliable complex systems. These include reliability growth potential, deterministic-state and stochastic
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