A cooperative approach for intelligent decision support systems

被引:0
|
作者
Zarate, P [1 ]
Rosenthal-Sabroux, C [1 ]
机构
[1] INPT, GSI 6, F-31400 Toulouse, France
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Our purpose is to improve the design of Decision Support Systems (DSS), Knowledge Base. Systems (KBS) and Intelligent Decision Support Systems (IDSS). To achieve this goal we define life-cycle processes of designing DSS and the actors they involved. We would like to provide support to knowledge engineers at the beginning of the process. This paper presents a conceptual framework to model man-machine cooperation in the knowledge acquisition stage. It proposes a shift in the way the IDSS design is viewed, so that the system and the user are in harmony right from the design stage of the system. We describe knowledge engineers' decision process; when and how our cooperative approach may be integrated in this process. The aim is to help to design a system that the user will see as a real partner, It will therefore involve sharing intelligence about the situation by interacting and collaborating with partners rather than remaining a passive user. This means putting at the disposal of the user, a system that will help him or her more efficiently with this problem. To achieve this goal, we define a Cooperative Approach to assist knowledge engineers in this task by providing a guideline. The approach adopted here is a global philosophy which functions within the framework of all the methodological principles underlying information, support or knowledge-based systems and cognitive ergonomics. Certain approaches will be compared and combined with one aim: to develop useful and usable systems and their conceptual framework. The aim of this research is not only to make systems more " intelligent " but, above all, to make people more efficient through cooperating with them. We applied this approach to a specific case. Finally, we outline possible further development of such an approach.
引用
收藏
页码:72 / 81
页数:10
相关论文
共 50 条
  • [21] Information visualization for intelligent decision support systems
    Li, T
    Feng, S
    Li, LX
    KNOWLEDGE-BASED SYSTEMS, 2001, 14 (5-6) : 259 - 262
  • [22] INFORMATION AND REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS
    HOLLNAGEL, E
    INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1987, 27 (5-6): : 665 - 678
  • [23] Application and Research on The Model of Distributed Intelligent Cooperative Decision Support System
    Peng, Peng-Fei
    Cui, Hao-Tian
    3RD ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS (ITA 2016), 2016, 7
  • [24] Argumentation Approach and Learning Methods in Intelligent Decision Support Systems in the Presence of Inconsistent Data
    Fomina, Marina
    Morosin, Oleg
    Vagin, Vadim
    2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, 29 : 1569 - 1579
  • [25] Limitations of decision support for intelligent manufacturing: The need for a new generation of decision support systems
    Ramos, C
    MANUFACTURING, MODELING, MANAGEMENT AND CONTROL, PROCEEDINGS, 2001, : 167 - 171
  • [26] Modeling Cooperative Decision Support Systems with Hybrid Agents
    Adla, Abdelkader
    INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 2013, 5 (03) : 31 - 48
  • [27] A cooperative technical framework for group decision support systems
    Li, JZ
    Wang, HY
    PROCEEDINGS OF FOURTH INTERNATIONAL WORKSHOP ON CSCW IN DESIGN, 1999, : 367 - 369
  • [28] Personalizing the explanation extraction in Intelligent Decision Support Systems
    Oliveira, Flavio R. da S.
    Neto, Fernando B. Lima
    PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021), 2021,
  • [29] INTELLIGENT INTEGRATED DECISION SUPPORT SYSTEMS FOR MANUFACTURING ENTERPRISE
    TSENG, MM
    OCONNOR, D
    EXPERT SYSTEMS IN ECONOMICS, BANKING AND MANAGEMENT, 1989, : 269 - 277
  • [30] Modelling human reasoning in intelligent decision support systems
    Vagin, V. N.
    Yeremeyev, A. P.
    ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS, 2007, : 277 - 282