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受人类启发的群体系统控制策略。

Human-inspired strategies for controlling swarm systems.

作者信息

Nalepka Patrick, Patil Gaurav, Kallen Rachel W, Richardson Michael J

机构信息

Performance and Expertise Research Centre, Macquarie University, Sydney NSW 2109, Australia.

School of Psychological Sciences, Macquarie University, Sydney NSW 2109, Australia.

出版信息

Philos Trans A Math Phys Eng Sci. 2025 Jan 30;383(2289):20240147. doi: 10.1098/rsta.2024.0147.

Abstract

The control of swarms has emerged as a paradigmatic example of human-autonomy teaming. This review focuses on understanding human coordination behaviours, while controlling evasive autonomous agents, to inform the design of human-compatible teammates. We summarize the solutions employed by human dyads, as well as the verbal communication and division of labour strategies observed in four-person teams using virtual simulations. Additionally, we provide an overview of the design of artificial agents that replicate human-like dynamics using task-dynamical models, and which can be integrated into human-autonomy teams. Finally, we conclude with open questions regarding the preservation of situation awareness and trust within human-autonomous swarming teams.This article is part of the theme issue 'The road forward with swarm systems'.

摘要

群体控制已成为人类与自主性协作的典型范例。本综述聚焦于理解人类协调行为,同时控制具有规避能力的自主智能体,以为设计与人类兼容的队友提供参考。我们总结了双人组合采用的解决方案,以及在使用虚拟模拟的四人团队中观察到的言语交流和分工策略。此外,我们概述了使用任务动力学模型来复制类人动态的智能体设计,这些智能体可被集成到人类与自主性协作的团队中。最后,我们总结了关于在人类自主群体团队中保持态势感知和信任的开放性问题。本文是主题为“群体系统的未来之路”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f176/11779539/b5b3578fbd05/rsta.2024.0147.f001.jpg

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