Qualitative modeling of complex systems for cognitive engineering

被引：1
|
作者：
Perusich, K [1 ]
McNeese, M [1 ]
Rentsch, JR [1 ]
机构：
[1] Purdue Univ, South Bend, IN 46634 USA
来源：
ENABLING TECHNOLOGY FOR SIMULATION SCIENCE III | 1999年 / 3696卷
关键词：
fuzzy cognitive maps; qualitative simulation; design of experiments;
D O I：
10.1117/12.351182
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, the techniques of using fuzzy cognitive maps will be outlined, and demonstrated with an example. Fuzzy cognitive maps will be used as a way to model the causal process in a cognitive system. With such a model interventions to change the dynamics of the system can be developed In the particular example, the information on a display needed to be improved to support group situation awareness within an AWACS team. A fuzzy cognitive map was developed of the chain of causality that led from the current information structure of the AWACS display to the loss of situation awareness. The map could then be examined to identify ways in which the linkages could be altered to improve situation awareness, and points at which technology could be applied From this a set of design changes could be recommended.
引用
收藏
页码：240 / 249
页数：10
相关论文
共 50 条
  • [1] Cybernetics, system engineering, complex systems and complexity science: The qualitative studies of complex systems
    Zhang Si-ying
    Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2, 2005, : 58 - 62
  • [2] Modeling and Quantification of Resilience in Complex Engineering Systems
    Patriarca, Riccardo
    Hosseini, Seyedmohsen
    COMPLEXITY, 2019, 2019
  • [3] Fuzzy Cognitive Maps for Modeling Complex Systems
    Leon, Maikel
    Rodriguez, Ciro
    Garcia, Maria M.
    Bello, Rafael
    Vanhoof, Koen
    ADVANCES IN ARTIFICIAL INTELLIGENCE, MICAI 2010, PT I, 2010, 6437 : 166 - 174
  • [4] Cognitive engineering: Understanding human interaction with complex systems
    Gersh, John R.
    McKneely, Jennifer A.
    Remington, Roger W.
    JOHNS HOPKINS APL TECHNICAL DIGEST, 2005, 26 (04): : 377 - 382
  • [5] Challenges to Cognitive Systems Engineering: Understanding Qualitative Aspects of Control Actions
    Lind, Morten
    ECCE 2009 - EUROPEAN CONFERENCE ON COGNITIVE ERGONOMICS: DESIGNING BEYOND THE PRODUCT - UNDERSTANDING ACTIVITY AND USER EXPERIENCE IN UBIQUITOUS ENVIRONMENTS, 2009, 258 : 37 - 44
  • [6] Using Fractal Dimensions in Modeling Complex Systems in Engineering
    Holofieieva, Maryna
    Tonkonogyi, Volodymyr
    Stanovska, Iraida
    Pavlyshko, Andrii
    Klimov, Sergii
    NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION VI, VOL 1, 2023, 687 : 298 - 304
  • [7] Modeling complex systems using fuzzy cognitive maps
    Stylios, CD
    Groumpos, PP
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2004, 34 (01): : 155 - 162
  • [8] Systems-Driven Engineering of Complex Systems: Behavioral RFAD Modeling
    Richter, Jan H.
    Jordan, Lars
    Canedo, Arquimedes
    2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, : 2934 - 2939
  • [9] Cognitive engineering for decision support modeling of diagnostic tasks in a complex system
    Ntuen, CA
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 2551 - 2555
  • [10] Qualitative modeling for requirements engineering
    Menzies, Tim
    Richardson, Julian
    30TH ANNUAL IEEE/NASA SOFTWARE ENGINEERING WORKSHOP, PROCEEDINGS, 2006, : 11 - +
12345