针对动态多代理系统的分散的适应性任务分配
Elizaveta Tarasova1, Victoria Erofeeva2, Oleg Granichin2
1Saint Petersburg State University, Saint Petersburg, Russia. elizaveta.tarasova@spbu.ru.
Scientific reports
|November 10, 2025
概括
本研究介绍了在多代理系统中进行动态任务分配的去中心化系统,使得在没有中央控制的情况下实现高效,可扩展和强大的在线分配.
科学领域:
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
- 分布式系统 分布式系统
背景情况:
- 多代理系统需要有效的动态任务分配策略.
- 现有的方法往往在部分可观测性,杂的反和有限的通信方面扎.
研究的目的:
- 开发一个分散的双层架构,用于动态的任务分配.
- 为了实现可扩展的在线任务分配,而无需集中协调.
- 在具有挑战性的运行条件下确保稳健性.
主要方法:
- 适应控制器使用递归回归与忘记参数预测.
- 根据相关性和代理人可用性的选择性任务广播.
- 分布式优化结合了同时扰动随机近似 (SPSA) 和基于共识的同步.
主要成果:
- 证明了可扩展性和在线任务分配能力.
- 在不同的噪音水平,任务动态和输入到达模式中展示了强度.
- 成功应用于大型语言模型 (LLM) 的基于提示符的任务分配.
结论:
- 拟议的去中心化架构有效地解决了多代理系统中的动态任务分配.
- 该系统为现实世界的应用提供了强大的和可扩展的解决方案.
- 这种方法在复杂的,部分可观测的环境中促进了有效的协调.
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