网格环境下的大规模自组装
Massive Self-Assembly in Grid Environments
摘要：
自组装在许多自然过程中发挥着重要作用，涉及生命或非生命结构的形成和进化，并在许多新兴领域显示出潜在的应用。在现有的研究和实践中，仍然缺乏一种理想的自组装机制，同时体现效率，可扩展性和稳定性。受自然界中观察到的趋光性的启发，我们提出了一种计算方法，用于网格环境中连接形状的大规模自组装。该方法的关键组成部分是叠加在网格环境上的人工光场，该光场由所有智能体的位置决定，同时驱动所有智能体改变位置，形成动态的相互反馈过程。这项工作推进了对自组装的理解和潜在应用。
英文摘要：
Self-assembly plays an essential role in many natural processes, involving the formation and evolution of living or non-living structures, and shows potential applications in many emerging domains. In existing research and practice, there still lacks an ideal self-assembly mechanism that manifests efficiency, scalability, and stability at the same time. Inspired by phototaxis observed in nature, we propose a computational approach for massive self-assembly of connected shapes in grid environments. The key component of this approach is an artificial light field superimposed on a grid environment, which is determined by the positions of all agents and at the same time drives all agents to change their positions, forming a dynamic mutual feedback process. This work advances the understanding and potential applications of self-assembly.
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