书目名称 | Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems | 编辑 | Johannes F. Knabe | 视频video | | 概述 | Recent research in Computational Genetic Regulatory Networks.State of the art in Evolvable and Self-organizing Systems.Written by a leading expert in the field | 丛书名称 | Studies in Computational Intelligence | 图书封面 |  | 描述 | .Genetic Regulatory Networks (GRNs) in biological organisms are primary engines for cells to enact their engagements with environments, via incessant, continually active coupling. In differentiated multicellular organisms, tremendous complexity has arisen in the course of evolution of life on earth. .Engineering and science have so far achieved no working system that can compare with this complexity, depth and scope of organization. .Abstracting the dynamics of genetic regulatory control to a computational framework in which artificial GRNs in artificial simulated cells differentiate while connected in a changing topology, it is possible to apply Darwinian evolution. in silico. to study the capacity of such developmental/differentiated GRNs to evolve..In this volume an evolutionary GRN paradigm is investigated for its evolvability and robustness in models of biological clocks, in simple differentiated multicellularity, and in evolving artificial developing ‘organisms‘ which grow and express an ontogeny starting from a single cell interacting with its environment, eventually including a changing local neighbourhood of other cells. .These methods may help us understand the genesis, o | 出版日期 | Book 2013 | 关键词 | Computational Genetic Regulatory Networks; Computational Intelligence; Evolvable Systems; Self-organizi | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-30296-1 | isbn_softcover | 978-3-642-44805-8 | isbn_ebook | 978-3-642-30296-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | issn_series | 1860-949X | copyright | Springer Berlin Heidelberg 2013 |
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