Multi-Agent Systems: A Survey

被引:373
|
作者
Dorri, Ali [1 ,2 ]
Kanhere, Salil S. [1 ]
Jurdak, Raja [2 ]
机构
[1] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
[2] CSIRO, Data61, Brisbane, Qld 4069, Australia
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Multi-agent systems; survey; MAS applications; challenges; ANONYMOUS MOBILE AGENTS; NONLINEAR DYNAMICS; CONSENSUS ALGORITHM; AVERAGE CONSENSUS; TIME CONSENSUS; SAMPLED-DATA; NETWORKS; DESIGN; COMMUNICATION; MANAGEMENT;
D O I
10.1109/ACCESS.2018.2831228
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Multi-agent systems (MASs) have received tremendous attention from scholars in different disciplines, including computer science and civil engineering, as a means to solve complex problems by subdividing them into smaller tasks. The individual tasks are allocated to autonomous entities, known as agents. Each agent decides on a proper action to solve the task using multiple inputs, e.g., history of actions, interactions with its neighboring agents, and its goal. The MAS has found multiple applications, including modeling complex systems, smart grids, and computer networks. Despite their wide applicability, there are still a number of challenges faced by MAS, including coordination between agents, security, and task allocation. This survey provides a comprehensive discussion of all aspects of MAS, starting from definitions, features, applications, challenges, and communications to evaluation. A classification on MAS applications and challenges is provided along with references for further studies. We expect this paper to serve as an insightful and comprehensive resource on the MAS for researchers and practitioners in the area.
引用
收藏
页码:28573 / 28593
页数:21
相关论文
共 50 条
  • [41] Model-Based Diagnosis of Multi-Agent Systems: A Survey
    Kalech, Meir
    Natan, Avraham
    [J]. THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 12334 - 12341
  • [42] Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
    Wang, Jingyao
    Deng, Xingming
    Guo, Jinghua
    Zeng, Zeqin
    [J]. SENSORS, 2023, 23 (06)
  • [43] Research of communication mechanism of the multi-agent in multi-agent robot systems
    Gao, Zhijun
    Yan, Guozheng
    Ding, Guoqing
    Huang, Heng
    [J]. High Technology Letters, 2002, 8 (01) : 67 - 71
  • [45] Multi-agent learning dynamics: A survey
    van den Herik, H. Jaap
    Hennes, D.
    Kaisers, M.
    Tuyls, K.
    Verbeeck, K.
    [J]. COOPERATIVE INFORMATION AGENTS XI, PROCEEDINGS, 2007, 4676 : 36 - +
  • [46] A Survey of Multi-Agent Decision Making
    Bulling, Nils
    [J]. KUNSTLICHE INTELLIGENZ, 2014, 28 (03): : 147 - 158
  • [47] A survey of multi-agent organizational paradigms
    Horling, B
    Lesser, V
    [J]. KNOWLEDGE ENGINEERING REVIEW, 2004, 19 (04): : 281 - 316
  • [48] A survey of multi-agent formation control
    Oh, Kwang-Kyo
    Park, Myoung-Chul
    Ahn, Hyo-Sung
    [J]. AUTOMATICA, 2015, 53 : 424 - 440
  • [49] AGENTS AND MULTI-AGENT SYSTEMS
    Schweitzer, Frank
    Taylor, Matthew E.
    [J]. ADVANCES IN COMPLEX SYSTEMS, 2011, 14 (02): : III - iv
  • [50] PURPOSIVE MULTI-AGENT SYSTEMS
    Demazeau, Yves
    [J]. ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2: AGENTS, 2010, : IS5 - IS5