| 书目名称 | Physicomimetics | | 副标题 | Physics-Based Swarm | | 编辑 | William M. Spears,Diana F. Spears | | 视频video | | | 概述 | This book introduces and defines the term physicomimetics.The contributing authors are the leading researchers in this field.A supporting website offers supplementary material, including simulation co | | 图书封面 |  | | 描述 | .Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term “biomimetics”. This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term ‘physicomimetics‘ to refer to physics-based swarm approaches, which offer two advantages. First, they capture the notion that “nature is lazy‘, meaning that physics-based systems always perform the minimal amount of work necessary, which is an especially important advantage in swarm robotics. Second, physics is the most predictive science, and can reduce complex systems to simple concepts and equations that codify emergent behavior and help us to design and understand swarms. .The editors consolidated over a decade of work on swarm intelligence and swarm robotics, organizing the book into 19 chapters as follows. Part I introduces the concept of swarms and offers the reader a physics tutorial; Part II deals with applications of physicomimetics, in order of increased complexity; Part III examines the hardware requirements of the presented algorithms and demonstrates real robot implementations; Part IV demonstrates how the theory can be used to | | 出版日期 | Book 2012 | | 关键词 | Adaptive learning; Adaptive systems; Agents; Artificial physics; Biomimetics; Fluid physics; Mimetics; Opti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-22804-9 | | isbn_softcover | 978-3-642-44863-8 | | isbn_ebook | 978-3-642-22804-9 | | copyright | Springer-Verlag Berlin Heidelberg 2012 |
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发表于 2025-3-21 17:59:03
