群体系统的前进之路。
The road forward with swarm systems.
作者信息
Abbass Hussein, Mostaghim Sanaz
机构信息
School of Systems and Computing, UNSW Canberra, Northcott Drive, Campbell, ACT 2600, Australia.
Faculty of Computer Science, Otto von Guericke University Magdeburg, Universitätsplatz, Magdeburg 39106, Germany.
出版信息
Philos Trans A Math Phys Eng Sci. 2025 Jan 30;383(2289):20240135. doi: 10.1098/rsta.2024.0135.
Advances in artificial intelligence (AI) and robotics are accelerating progress in swarm systems. Large and bulky autonomous systems are being replaced with many, smaller, cheaper, distributed, decentralized and collectively smarter systems. However, developing these swarm intelligence systems comes with multiple challenges, including technological challenges to engineer smaller and smarter machines, interaction challenges to design novel interfaces and modalities for communication and sociotechnical challenges related to trustworthiness, ethics and legalities. Swarm systems present philosophical and mathematical dilemmas that are worthy of deeper scientific inquiry. This introduction contextualizes the topic in the contemporary literature and shows the current research directions and evolution of swarm systems using 11 carefully selected papers in this special theme. We conclude by discussing the way forward for swarm systems.This article is part of the theme issue 'The road forward with swarm systems'.
人工智能（AI）和机器人技术的进步正在加速群体系统的发展。大型且笨重的自主系统正被众多更小、更便宜、分布式、去中心化且集体更智能的系统所取代。然而，开发这些群体智能系统面临多重挑战，包括设计更小且更智能机器的技术挑战、设计新颖通信接口和方式的交互挑战，以及与可信度、伦理和法律相关的社会技术挑战。群体系统呈现出值得深入科学探究的哲学和数学困境。本引言将该主题置于当代文献背景下，并通过本专题精心挑选的11篇论文展示了群体系统当前的研究方向和发展历程。我们通过讨论群体系统的未来发展方向来结束本文。本文是“群体系统的前进之路”主题特刊的一部分。
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