Frontiers of collaborative intelligence systems

Maoguo Gong , Yajing He , Hao Li , Yue Wu , Mingyang Zhang , Shanfeng Wang , Tianshi Luo
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Abstract

The development of information technology has propelled technological reform in artificial intelligence (AI). To address the needs of diversified and complex applications, AI has been increasingly trending towards intelligent, collaborative, and systematized development across different levels and tasks. Research on intelligent, collaborative and systematized AI can be divided into three levels: micro, meso, and macro. Firstly, the micro-level collaboration is illustrated through the introduction of swarm intelligence collaborative methods related to individuals collaboration and decision variables collaboration. Secondly, the meso-level collaboration is discussed in terms of multi-task collaboration and multi-party collaboration. Thirdly, the macro-level collaboration is primarily in the context of intelligent collaborative systems, such as terrestrial-satellite collaboration, space-air-ground collaboration, space-air-ground-air collaboration, vehicle-road-cloud collaboration and end-edge-cloud collaboration. Finally, this paper provides prospects on the future development of relevant fields from the perspectives of the micro, meso, and macro levels.

Abstract Image

协作智能系统的前沿
信息技术的发展推动了人工智能(AI)的技术改革。为满足多样化、复杂化的应用需求,人工智能越来越趋向于智能化、协同化、系统化的发展,跨越不同的层次和任务。关于人工智能智能化、协同化和系统化的研究可分为微观、中观和宏观三个层面。首先,微观层面的协作通过引入与个体协作和决策变量协作相关的蜂群智能协作方法来说明。其次,从多任务协作和多方协作两个方面探讨中观层面的协作。第三,宏观层面的协同主要结合智能协同系统,如地-卫星协同、空-空-地协同、空-空-地-空协同、车-路-云协同、端-边-云协同等。最后,本文从微观、中观和宏观三个层面对相关领域的未来发展进行了展望。
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