Interactions of Multiple Self-Adaptive Mechanisms in Multi-Agent Systems

被引:4
|
作者
Sanderson, David [1 ]
Pitt, Jeremy [1 ]
Busquets, Didac [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, EEE Dept, ISN Grp, London SW7 2BT, England
关键词
adaptive systems; multi-agent systems; self-organisation;
D O I
10.1109/WI-IAT.2013.124
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The macro-level properties of a system may emerge from the micro-level behaviour of individuals in the system. There have been numerous suggestions for the addition of meso-level structures as a way to guide this emergence towards desirable outcomes or away from undesirable ones. However, it can be observed that the interaction of the micro and meso levels may cause unexpected properties to arise at all levels of the system. This paper investigates the interleaving of a self-adaptive micro level with a self-organising meso level to explain the macro-level system properties that may occur. A simulation-based testbench is used to perform experiments examining various compositions of adaptive mechanisms at the micro and meso levels of a multi-agent system. The results of these experiments are then analysed using a proposed formalism for multi-level adaptive systems to explain the observed interactions.
引用
收藏
页码:301 / 308
页数:8
相关论文
共 50 条
  • [1] Multi-Agent Collaboration in Distributed Self-Adaptive Systems
    Golpayegani, Fatemeh
    [J]. 2015 IEEE NINTH INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS WORKSHOPS (SASOW), 2015, : 146 - 151
  • [2] Self-adaptive systems using a massive multi-agent system
    Cambier, C
    Piron, M
    Cardon, A
    [J]. CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 345 - 350
  • [3] An Organizational Structure and Self-Adaptive Mechanism for Holonic Multi-Agent Systems
    Wang, Meijia
    Li, Qingshan
    Lin, Yishuai
    [J]. IEEE ACCESS, 2020, 8 : 145128 - 145148
  • [4] Representing and perceiving environment of complex self-adaptive multi-agent systems
    Dong, Menggao
    Mao, Xinjun
    Guo, Yi
    Qi, Zhichang
    [J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2012, 49 (02): : 402 - 412
  • [5] Runtime Verification of Multi-Agent Self-Adaptive System
    Ye, Xingyu
    Liu, Wei
    Wang, Ning
    [J]. PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2021, : 12 - 17
  • [6] Research of Software Development Methodology Based on Self-Adaptive Multi-Agent Systems
    Che Kui
    Li Ling-ling
    Niu Xiao-tai
    Xing Shu-tao
    [J]. 2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS, 2009, : 235 - +
  • [7] Formal Modelling of Real-Time Self-Adaptive Multi-Agent Systems
    Qasim, Awais
    Kazmi, Syed Asad Raza
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2019, 25 (01): : 49 - 63
  • [8] Continuous self-adaptive optimization to learn multi-task multi-agent
    Liang, Wenqian
    Wang, Ji
    Bao, Weidong
    Zhu, Xiaomin
    Wang, Qingyong
    Han, Beibei
    [J]. COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (02) : 1355 - 1367
  • [9] Continuous self-adaptive optimization to learn multi-task multi-agent
    Wenqian Liang
    Ji Wang
    Weidong Bao
    Xiaomin Zhu
    Qingyong Wang
    Beibei Han
    [J]. Complex & Intelligent Systems, 2022, 8 : 1355 - 1367
  • [10] Adaptive mechanisms of organizational structures in multi-agent systems
    Wang Zheng-guang
    Liang Xiao-hui
    Zhao Qin-ping
    [J]. AGENT COMPUTING AND MULTI-AGENT SYSTEMS, 2006, 4088 : 471 - 477