• 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