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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 11

Attention-based multi-agent cooperation with limited communication

Yang Guisong
Wei Manzhou
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0091

Abstract

Limited by the finite communication resources in real-world scenarios, existing multi-agent algorithms face numerous challenges in practical applications. To enhance the collaborative performance of multi-agent systems in communication-constrained environments, an innovative multi-agent collaborative algorithm is proposed. This algorithm is finely optimized in three aspects: communication objects, communication content, and communication time, with the aim of reducing bandwidth consumption and improving system collaboration performance. Firstly, the algorithm introduces a scalable multi-dimensional information encoding and fusion module, which possesses excellent information extraction and fusion capabilities. By encoding multi-dimensional information, this module effectively extracts information such as agent perception and inter-agent communication, and achieves information complementarity during the fusion process, thereby enhancing the accuracy and efficiency of collaborative decision-making. Secondly, the algorithm includes a gate-controlled communication decision module, which possesses adaptive information communication and decision-making capabilities, allowing it to decide whether to communicate based on the value of communication information. Experimental results demonstrate that compared to contrastive algorithms, the proposed algorithm exhibits superior collaborative performance in scenarios such as collaborative navigation and collaborative inspection. Furthermore, the algorithm significantly reduces the amount of communication information among agents, further improving its adaptability in complex environments.

Foundation Support

国家自然科学基金资助项目(61602305,61802257)
上海市自然科学基金资助项目(18ZR1426000,19ZR1477600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0091
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 11

Publish History

[2024-08-02] Accepted Paper

Cite This Article

杨桂松, 魏满舟. 通信受限下基于注意力的多智能体协同算法 [J]. 计算机应用研究, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0091. (Yang Guisong, Wei Manzhou. Attention-based multi-agent cooperation with limited communication [J]. Application Research of Computers, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0091. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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