Paper
22 June 1999 Qualitative modeling of complex systems for cognitive engineering
Karl A. Perusich, Michael D. McNeese, Joan R. Rentsch
Author Affiliations +
Abstract
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karl A. Perusich, Michael D. McNeese, and Joan R. Rentsch "Qualitative modeling of complex systems for cognitive engineering", Proc. SPIE 3696, Enabling Technology for Simulation Science III, (22 June 1999); https://doi.org/10.1117/12.351182
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Cited by 10 scholarly publications.
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KEYWORDS
Weapons

Cognitive modeling

Fuzzy logic

Systems modeling

Complex systems

Zoom lenses

Process modeling

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