Organizational Metamodel for Large-Scale Multi-Agent Systems

被引:8
|
作者
Duric, Bogdan Okresa [1 ]
机构
[1] Univ Zagreb, Fac Org & Informat, Artificial Intelligence Lab, Pavlinska 2, Varazhdin 42000, Croatia
关键词
D O I
10.1007/978-3-319-40159-1_36
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main objective of this research is to ease organizational design of large-scalemulti-agent systems (LSMAS) development. Methods including ontology engineering, metamodeling and code generation are proposed to achieve the set goal. The resulting modeling tool is expected to aid in development of LSMAS for numerous application domains.
引用
收藏
页码:387 / 390
页数:4
相关论文
共 50 条
  • [1] Organizational Architectures for Large-Scale Multi-Agent Systems' Development: An Initial Ontology
    Schatten, Markus
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE, 2014, 290 : 261 - 268
  • [2] Adaptive agent selection in large-scale multi-agent systems
    Sugawara, Toshiharu
    Fukuda, Kensuke
    Hirotsu, Toshio
    Sato, Shin-ya
    Kurihara, Satoshi
    PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4099 : 818 - 822
  • [3] Multi-Agent Decision Making in Large-Scale Systems
    ZHU Shijing
    WANG Shuning
    CHEN Ting Institute of Systems Engineering
    JournalofSystemsScienceandSystemsEngineering, 1994, (03) : 211 - 217
  • [4] Requirements engineering for large-scale multi-agent systems
    Cysneiros, LM
    Yu, E
    SOFTWARE ENGINEERING FOR LARGE-SCALE MULTI-AGENT SYSTEMS: RESEARCH ISSUES AND PRACTICAL APPLICATIONS, 2003, 2603 : 39 - 56
  • [5] Macroscopic Observation of Large-scale Multi-agent Systems
    Lamarche-Perrin, Robin
    Demazeau, Yves
    Vincent, Jean-Marc
    2014 BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), 2014, : 121 - 127
  • [6] Towards reliable large-scale multi-agent systems
    Guessoum, Z
    Faci, N
    MULTI-AGENT SYSTEMS AND APPLICATIONS IV, PROCEEDINGS, 2005, 3690 : 430 - 439
  • [7] Intelligent planning for large-scale multi-agent systems
    Ma, Hang
    AI MAGAZINE, 2022, 43 (04) : 376 - 382
  • [8] A Coordination Mechanism to Replicate Large-Scale Multi-Agent Systems
    Ductor, Sylvain
    Guessoum, Zahia
    2018 IEEE/ACM 13TH INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS), 2018, : 130 - 136
  • [9] Large-scale multi-agent transportation simulations
    Cetin, N
    Nagel, K
    Raney, B
    Voellmy, A
    COMPUTER PHYSICS COMMUNICATIONS, 2002, 147 (1-2) : 559 - 564
  • [10] Large-Scale Multi-Agent Deep FBSDEs
    Chen, Tianrong
    Wang, Ziyi
    Exarchos, Ioannis
    Theodorou, Evangelos A.
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 2021, 139