DocumentCode
1368050
Title
The role of qualitative knowledge in the formulation of compartmental models
Author
Radke-Sharpe, Norean ; White, K. Preston, Jr.
Author_Institution
Div. of Math. Sci., Babson Coll., Babson Park, MA, USA
Volume
28
Issue
2
fYear
1998
fDate
5/1/1998 12:00:00 AM
Firstpage
272
Lastpage
275
Abstract
Compartmental modeling is an approach to dynamic systems analysis that has proven useful in enhancing the understanding of biological and ecological systems. The compartmental approach emphasizes model conceptualization and is especially appropriate in applications in which quantitative behavioral data are difficult or expensive to obtain and in which qualitative understanding is the primary goal. In these applications, models are often developed by interdisciplinary teams. Domain experts contribute their understanding of component behaviors and interactions, while systems engineers guide the modeling process and insure the rigor of subsequent model-based analyses. The success of these applications clearly demands efficient and effective methods for transferring qualitative knowledge across disciplinary boundaries. The paper examines the expanded roles of knowledge acquisition, verification, and interpretation in the formulation of compartmental models. The objective is to illustrate that knowledge engineering, as currently practiced in the development of expert systems, is an essential ingredient in the compartmental approach to dynamic systems
Keywords
biocybernetics; ecology; expert systems; knowledge acquisition; knowledge verification; model-based reasoning; modelling; systems engineering; biological systems; compartmental model formulation; component behavior; component interaction; domain experts; dynamic systems analysis; ecological systems; expert system development; knowledge acquisition; knowledge interpretation; knowledge verification; model conceptualization; model-based analyses; qualitative knowledge; systems engineers; Biological system modeling; Biology; Biomedical engineering; Ecosystems; Expert systems; Knowledge acquisition; Knowledge engineering; Mathematical model; Systems engineering and theory; Testing;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher
ieee
ISSN
1094-6977
Type
jour
DOI
10.1109/5326.669567
Filename
669567
Link To Document