DocumentCode
2402589
Title
Using qualitative knowledge for quantitative simulation of the human spatial orientation system
Author
Groleau, Nicolas ; Bharnagar, R. ; Merfeld, Daniel M.
Author_Institution
Man-Vehicle Lab., MIT, Cambridge, MA, USA
fYear
1991
fDate
1-2 Apr 1991
Firstpage
279
Lastpage
288
Abstract
Theory formation is an important scientific goal. This process often involves the development of complex mathematical models which are first qualitatively tested before being fine tuned quantitatively. The authors explore the quantitative fine tuning aspect of theory formation. The scientific domain chosen for this work is the human orientation system. The particular experiment for the modeling is space-borne. The scarceness of data leads to fine tune the model parameters for each astronaut. The authors are currently developing a computer tool for automatic, reliable and rapid convergence toward the best parameter fit for each individual subject using qualitative knowledge of the general model formulated
Keywords
aerospace computing; behavioural sciences computing; digital simulation; human factors; knowledge engineering; aerospace computing; fine tuning; human spatial orientation system; qualitative knowledge; quantitative simulation; theory formation; Convergence; Gravity; Humans; Irrigation; Laboratories; Mathematical model; Predictive models; Sensor systems; Testing; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on
Conference_Location
Cocoa Beach, FL
Print_ISBN
0-8186-2162-1
Type
conf
DOI
10.1109/AIHAS.1991.138485
Filename
138485
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