群体自主:从代理人功能化到机器智能
Yibin Wang1,2, Hui Chen1,2, Leiming Xie1,2
1School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
Advanced materials (Deerfield Beach, Fla.)
|April 23, 2024
概括
这篇评论探讨了合成群体,这些群体模仿了使用活性剂的自然集体行为. 它详细介绍了代理互动,通信,新兴机器智能以及自主系统的现实应用.
科学领域:
- 机器人和人工智能 机器人和人工智能
- 集体行为研究 集体行为研究
- 生物仿真和群体情报 生物仿真和群体情报
背景情况:
- 自然群体通过个体代理相互作用表现出复杂的集体行为.
- 合成群体的目的是为了技术应用而复制这些自然动态.
- 了解微观的代理行为是开发宏观群体能力的关键.
研究的目的:
- 提供综合性蜂群的综合性审查,弥合单个代理和蜂群应用之间的差距.
- 检查合成群体的基本单位:活性剂及其对刺激的反应.
- 总结合成群体中的通信机制,新兴行为和机器智能.
主要方法:
- 关于活性剂,它们的运动性和功能性的现有文献的审查.
- 在群体形成中分析间代理和代理环境沟通策略.
- 检查报告的群体行为,新兴的机器智能和各种应用.
主要成果:
- 活性剂是合成群体的基础,表现出运动性和功能性.
- 代理人和环境之间的通信对于群体生成至关重要.
- 在合成群体行为中观察到新兴机器智能,使复杂的行动成为可能.
结论:
- 合成群体为自我组织和复杂行为提供了一个平台.
- 在群体中出现的机器智能促进了自主操作.
- 对合成群体的洞察力可以指导现实世界的自主系统的设计.
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