Middleware-based multi-agent development environment for building and testing distributed intelligent systems

被引:0
作者
Francisco José Aguayo-Canela
Héctor Alaiz-Moretón
María Teresa García-Ordás
José Alberto Benítez-Andrades
Carmen Benavides
Paulo Novais
Isaías García-Rodríguez
机构
[1] Universidad de León,SECOMUCI Research Group, Escuela de Ingenierías Industrial e Informática
[2] University of León,SALBIS Research Group, Department of Electric, Systems and Automatics Engineering
[3] Algoritmi Centre/Department of Informatics University of Minho,undefined
来源
Cluster Computing | 2021年 / 24卷
关键词
Rule-based agent; Multi-agent systems; Distributed intelligence; Development environment;
D O I
暂无
中图分类号
学科分类号
摘要
The spread of the Internet of Things (IoT) is demanding new, powerful architectures for handling the huge amounts of data produced by the IoT devices. In many scenarios, many existing isolated solutions applied to IoT devices use a set of rules to detect, report and mitigate malware activities or threats. This paper describes a development environment that allows the programming and debugging of such rule-based multi-agent solutions. The solution consists of the integration of a rule engine into the agent, the use of a specialized, wrapping agent class with a graphical user interface for programming and testing purposes, and a mechanism for the incremental composition of behaviors. Finally, a set of examples and a comparative study were accomplished to test the suitability and validity of the approach. The JADE multi-agent middleware has been used for the practical implementation of the approach.
引用
收藏
页码:2313 / 2325
页数:12
相关论文
共 50 条
  • [31] Building multi-agent systems using Jason
    Boss, Niklas Skamriis
    Jensen, Andreas Schmidt
    Villadsen, Jorgen
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2010, 59 (3-4) : 373 - 388
  • [32] Building multi-agent systems using Jason
    Niklas Skamriis Boss
    Andreas Schmidt Jensen
    Jørgen Villadsen
    Annals of Mathematics and Artificial Intelligence, 2010, 59 : 373 - 388
  • [33] Neural network-based distributed intelligent supervisory control for multi-agent systems with unknown input powers
    Jiang, Deyang
    Zhu, Jiyu
    Shen, Qikun
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2024, 55 (16) : 3442 - 3460
  • [34] A MULTI-AGENT SYSTEM FOR INTELLIGENT BUILDING CONTROL Norm Approach
    Duangsuwan, Jarunee
    Liu, Kecheng
    ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2: AGENTS, 2010, : 22 - 29
  • [35] An Intelligent Multi-Agent Recommender System for Human Capacity Building
    Marivate, V. N.
    Ssali, G.
    Marwala, T.
    2008 IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1 AND 2, 2008, : 888 - 894
  • [36] Intermediate Observer Based Distributed Fault Estimation for Multi-Agent Systems
    Liu X.-H.
    Han J.
    Wei X.-J.
    Zidonghua Xuebao/Acta Automatica Sinica, 2020, 46 (01): : 142 - 152
  • [37] Consensus-Based Distributed Connectivity Control in Multi-Agent Systems
    Griparic, Karlo
    Polic, Marsela
    Krizmancic, Marko
    Bogdan, Stjepan
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 9 (03): : 1264 - 1281
  • [38] Synchronizability-Based Distributed Learning Control for Multi-Agent Systems
    Wu, Yuxin
    Meng, Deyuan
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (04) : 2109 - 2113
  • [39] A component-based model for building reliable multi-agent systems
    Haendchen, A
    von Staa, A
    Lucena, C
    28TH ANNUAL NASA GODDARD SOFTWARE ENGINEERING WORKSHOP, PROCEEDINGS, 2004, : 41 - 50
  • [40] Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development
    Carrera, Alvaro
    Iglesias, Carlos A.
    Garijo, Mercedes
    INFORMATION SYSTEMS FRONTIERS, 2014, 16 (02) : 169 - 182