Emergency Decision-supporting System Based on Multi-Agents Negotiation

被引：1
|
作者：
Gong, Qian-sheng [1 ,2 ]
机构：
[1] Xian Univ Sci & Technol, Secur Management Inst, Xian, Peoples R China
[2] Xian Shiyou Univ, Coll Econ & Business Management, Xian, Peoples R China
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL ASIA CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGEMENT INNOVATION (IEMI2014) | 2015年
关键词：
Consultation; decision-supporting system; Multi-Agent; negotiation;
D O I：
10.2991/978-94-6239-100-0_9
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In light of the high complexity of the Emergency Decision-making, this paper introduced the Agent technology in artificial intelligence theory on the basis of the traditional Emergency Decision-supporting System. Taking into full consideration of such aspects as the function structure and systematic structure, and the negotiation mechanism among Agents, an Emergency Decision-supporting System is built on the basis of Multi-Agent negotiation. The negotiation and calculation is achieved through the combination of the scenario analysis and case reasoning.
引用
收藏
页码：49 / 53
页数：5
相关论文
共 50 条
  • [41] On Intelligent Forewarning & Decision-supporting System for the Management of Road Transportation Enterprises
    Zeng Chuanhua
    Yang Wei
    Li Qingsong
    [J]. 2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS, 2009, : 467 - 470
  • [42] AN INVESTOR RISK PROFILING USING FUZZY LOGIC-BASED APPROACH IN MULTI-AGENTS DECISION SUPPORT SYSTEM
    Jurgutis, Andrius
    Simutis, Runvydas
    [J]. INFORMATION TECHNOLOGIES' 2011, 2011, : 23 - 30
  • [43] Network Management using Multi-Agents System
    Isaza, Gustavo
    Mejia, Maria H.
    Castillo, Luis
    Morales, Adriana
    Duque, Nestor
    [J]. ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2012, 1 (03): : 49 - 54
  • [44] Designing of a genetic fuzzy system based on multi-agents critical evaluation
    Bi, Z
    Yang, YM
    Ke, YJ
    Wei, L
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3714 - 3719
  • [45] Simulating dynamic road information services system based on multi-agents
    Zhang, Jianqin
    Lu, Feng
    Xu, Zhijie
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2010, 35 (10): : 1226 - 1230
  • [46] Extended-UML for multi-agents system
    Wang, L
    [J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 4873 - 4876
  • [47] Intelligent multi-agents based CAPP system:DES-CAPP
    Wu, Zhao-Hui
    Chu, Ling-Kun
    Pan, Yun-He
    [J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design & Computer Graphics, 1998, 10 (03): : 266 - 272
  • [48] Prototype of a Recommendation System Based on Multi-agents in the Analysis of Movies Dataset
    Ballen, Andres
    Gelvez, Nancy
    Espitia, Helbert
    [J]. APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2018, PT I, 2018, 915 : 206 - 217
  • [49] A Security Model for Complex Applications Based on Normative Multi-Agents System
    Cheribi, Haoua
    Kholladi, Mohamed Kheireddine
    [J]. 2015 SECOND INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND CYBER FORENSICS (INFOSEC), 2015, : 41 - 46
  • [50] A marine faults tolerant control system based on intelligent multi-agents
    Tang, Tianhao
    Yao, Gang
    [J]. ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL ICSO: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION, 2008, : 357 - 362
12345