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ICT-BT:间接知识转移行为树框架 多机器人系统通过通信窃听
IEEE transactions on cybernetics
|April 25, 2025
概括
本研究介绍了多代理和多机器人系统 (MRS) 通过行为树 (ICT-BT) 的间接知识传输. 这种新的方法通过观察代理互动来增强分散的知识传播,减少对直接通信的依赖.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 多代理系统 多代理系统
背景情况:
- 多代理和多机器人系统 (MRS) 通常依赖于直接通信进行信息交换.
- 在MRS中分散的知识传播面临着直接沟通的挑战,特别是在资源有限的环境中.
研究的目的:
- 探索在MRS.中进行知识共享的直接沟通的替代方案.
- 通过间接观察代理互动来增强分散的知识传播.
主要方法:
- 介绍通过行为树 (ICT-BT) 框架的间接知识传输.
- 开发基于行为树 (BT) 的两个新模式:窃听更新 (EU) 和窃听缓冲区更新 (EBU).
- 在模拟搜救任务中对ICT-BT框架进行理论分析和实验验证.
主要成果:
- ICT-BT框架改善了MRS的全球任务绩效结果.
- 通过拟议的窃听方式实现了增强的代理人级知识传播.
- 直接通信的需求有所减少,特别是在资源有限的群体机器人中.
结论:
- 通过行为树间接的知识传输为MRS中的直接沟通提供了一个可行的替代方案.
- 窃听方式 (欧盟和欧洲电信联盟) 在基于行为的MRS中有效传播知识.
- 在复杂的机器人任务中,ICT-BT框架有望提高效率和性能.
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