Qualitative modeling of complex systems for cognitive engineering

Karl Perusich, Mike McNeese, Joan R. Rentsch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages240-249
Number of pages10
Volume3696
ISBN (Print)0819431702
StatePublished - 1999
EventProceedings of the 1999 Enabling Technology for Simulation Science III - Orlando, FL, USA
Duration: Apr 6 1999Apr 8 1999

Other

OtherProceedings of the 1999 Enabling Technology for Simulation Science III
CityOrlando, FL, USA
Period4/6/994/8/99

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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    Perusich, K., McNeese, M., & Rentsch, J. R. (1999). Qualitative modeling of complex systems for cognitive engineering. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3696, pp. 240-249). Society of Photo-Optical Instrumentation Engineers.