グリッド環境における大規模自己組織化
Massive Self-Assembly in Grid Environments
自然界の走光性に着想を得て、グリッド上に人工的な光場を重ね、全エージェントの位置で光場を決めつつ各エージェントが光場に従って移動する相互フィードバックにより、多数のエージェントが連結形状を大規模に自己組織化する計算手法を提案した。
著者: Wenjie Chu, Wei Zhang, Haiyan Zhao, Zhi Jin, Hong Mei
分類: cs.MA, cs.DC, cs.RO
原文アブストラクト
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.
