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
来源：
TRENDS IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS, THE PAAMS COLLECTION | 2016年 / 473卷
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
  • [41] Emergent Intelligence in Large Scale Multi-Agent Systems
    Rzevski, George
    Skobelev, Petr
    INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES, 2007, 1 (02): : 64 - 71
  • [42] A negotiation model for large scale multi-agent systems
    Far, Behrouz
    Wanyama, Tom
    Soueina, Sidi O.
    IRI 2006: PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2006, : 589 - +
  • [43] Fluctuated peer selection policy and its performance in large-scale multi-agent systems
    Sugawara T.
    Fukuda K.
    Hirotsu T.
    Sato S.-Y.
    Akashi O.
    Kurihara S.
    Web Intelligence and Agent Systems, 2010, 8 (03): : 255 - 268
  • [44] MATISSE 3.0: A Large-Scale Multi-agent Simulation System for Intelligent Transportation Systems
    Torabi, B.
    Al-Zinati, M.
    Wenkstern, R. Z.
    ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND COMPLEXITY: THE PAAMS COLLECTION, 2018, 10978 : 357 - 360
  • [45] Controling contract net protocol by local observation for large-scale multi-agent systems
    Sugawara, Toshiharu
    Hirotsu, Toshio
    Kurihara, Satoshi
    Fukuda, Kensuke
    COOPERATIVE INFORMATION AGENTS XII, PROCEEDINGS, 2008, 5180 : 206 - +
  • [46] Efficient environment management for distributed simulation of large-scale situated multi-agent systems
    Cicirelli, Franco
    Giordano, Andrea
    Nigro, Libero
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 27 (03): : 610 - 632
  • [47] A modified GMRES method for solving large-scale Lyapunov equations for multi-agent systems
    Ohashi, Asuka
    Takaba, Kiyotsugu
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 1583 - 1588
  • [48] Role-based approaches for engineering interactions in large-scale multi-agent systems
    Cabri, G
    Ferrari, L
    Zambonelli, F
    SOFTWARE ENGINEERING FOR MULTI-AGENT SYSTEMS II: RESEARCH ISSUES AND PRACTICAL APPLICATIONS, 2004, 2940 : 243 - 263
  • [49] Task Allocation Strategy Based on Variances in Bids for Large-Scale Multi-Agent Systems
    Sugawara, Toshiharu
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2013, 2013, 412 : 110 - 120
  • [50] Lifelong Multi-Agent Path Finding in Large-Scale Warehouse
    Li, Jiaoyang
    Tinka, Andrew
    Kiesel, Scott
    Durham, Joseph W.
    Kumar, T. K. Satish
    Koenig, Sven
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 11272 - 11281
12345