We have great pleasure in presenting this special issue of New Generation Computing for Molecular Robotics. This special issue includes research papers on the latest results of molecular robotics, as well as tutorial papers that introduce fundamental knowledge of molecular robotics for non-specialized readers. One of the research papers from the forefront of DNA computing technology is on the development of an enzyme-free XOR gate [1]. In this paper, the rational design and simulation of the dynamic DNA reaction circuit are shown based on the knowledge of control engineering. Another research paper [2] is concerned with an agent model for microbial chemotaxis inspired by the behaviors of Escherichia coli and Paramecium, which gives a control strategy of molecular robots in the level of behavior. In this special issue we have four tutorial papers. In the first tutorial [3], various computing algorithms of shape formation by many molecular robots, i.e. mobile computing entities with very weak capabilities is discussed. It gives a framework for molecular robot system in the most abstract level. The next tutorial [4] deals with implementation level design of a molecular robot system. The design, simulation, and optimization of spatio-temporal DNA computing system utilizing enzymatic reactions called “PEN Toolbox” is introduced with some illustrative examples. In the third tutorial [5], the authors review fundamental theory and computational tools for the modeling, analysis and design of stochastic biomolecular systems. The last tutorial [6] focuses on recent development of pattern generation algorithms based on DNA computing. Several typical methods to build patterns by 1-D or 2-D reaction–diffusion systems are introduced and how to implement the system by DNA molecules is explained. Through these papers, readers can get an overview of what is being done in molecular robotics research, especially its reaction system design and behavioral control of a large number of molecular agents. We would like to express sincere

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分子机器人特刊

我们很高兴为您介绍这一期特刊《分子机器人的新一代计算》(New Generation Computing for Molecular Robotics)。本期特刊包括有关分子机器人学最新成果的研究论文，以及为非专业读者介绍分子机器人学基础知识的教程论文。DNA 计算技术前沿的研究论文之一是关于无酶异或门的开发 [1]。本文结合控制工程的知识，对动态DNA反应电路进行了合理的设计和仿真。另一篇研究论文 [2] 涉及一种受大肠杆菌和草履虫行为启发的微生物趋化性代理模型，该模型给出了分子机器人在行为层面的控制策略。在本期特刊中，我们有四篇教程论文。在第一个教程[3]中，讨论了许多分子机器人的形状形成的各种计算算法，即能力非常弱的移动计算实体。它在最抽象的层次上给出了分子机器人系统的框架。下一个教程 [4] 涉及分子机器人系统的实现级设计。介绍了利用称为“PEN Toolbox”的酶促反应的时空 DNA 计算系统的设计、模拟和优化，并附有一些说明性示例。在第三篇教程 [5] 中，作者回顾了用于随机生物分子系统建模、分析和设计的基本理论和计算工具。上一个教程 [6] 侧重于基于 DNA 计算的模式生成算法的最新发展。介绍了通过一维或二维反应扩散系统构建模式的几种典型方法，并解释了如何通过 DNA 分子实现该系统。通过这些论文，读者可以大致了解分子机器人研究的进展，尤其是其反应系统设计和对大量分子代理的行为控制。我们想表达真诚