书目名称 | Computational Evolution of Neural and Morphological Development | 副标题 | Towards Evolutionary | 编辑 | Yaochu Jin | 视频video | | 概述 | Integrates evolution, learning and development in a united computing framework.Includes detailed examples of evolving genetic networks, brain-body coevolution, and self-organizing swarm robots.Introdu | 丛书名称 | Natural Computing Series | 图书封面 |  | 描述 | .This book provides a basic yet unified overview of theory and methodologies for evolutionary developmental systems. Based on the author’s extensive research into the synergies between various approaches to artificial intelligence including evolutionary computation, artificial neural networks, and systems biology, it also examines the inherent links between biological intelligence and artificial intelligence. ..The book begins with an introduction to computational algorithms used to understand and simulate biological evolution and development, including evolutionary algorithms, gene regulatory network models, multi-cellular models for neural and morphological development, and computational models of neural plasticity. Chap. 2 discusses important properties of biological gene regulatory systems, including network motifs, network connectivity, robustness and evolvability. Going a step further, Chap. 3 presents methods for synthesizing regulatory motifs from scratch and creating more complex regulatory dynamics by combining basic regulatory motifs using evolutionary algorithms. Multi-cellular growth models, which can be used to simulate either neural or morphological development, are | 出版日期 | Book 2023 | 关键词 | Evolutionary Developmental Systems; Evolution; Gene Regulatory Networks; Morphogenesis; Self-Organizatio | 版次 | 1 | doi | https://doi.org/10.1007/978-981-99-1854-6 | isbn_softcover | 978-981-99-1856-0 | isbn_ebook | 978-981-99-1854-6Series ISSN 1619-7127 Series E-ISSN 2627-6461 | issn_series | 1619-7127 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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