• DocumentCode
    2396152
  • Title

    Extracting qualitative descriptions from quantitative models

  • Author

    Kelley, T.G. ; Glasgow, J.I. ; Ellis, R.E.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Queen´´s Univ., Kingston, Ont., Canada
  • fYear
    1991
  • fDate
    1-2 Apr 1991
  • Firstpage
    108
  • Lastpage
    119
  • Abstract
    Presents a general methodology for generating qualitative descriptions of specific physical systems from their quantitative model. Given a physical system, the methodology provides guidelines for formulating the system´s quantitative model, and systematically exploring its parameter space to extract a qualitative description in the form of a graph. The qualitative features of the graph can increase an engineer´s understanding of the physical system, and help with the design of an agent to control it. With suitable characterizations of its regions, the graph can also be used by the controlling agent itself. The methodology is applicable to an interesting domain of physical systems, and it is applied to an example problem from this domain-the two-dimensional baseball problem
  • Keywords
    graph theory; inference mechanisms; modelling; agent; graph theory; physical system; qualitative descriptions; quantitative models; Control systems; Data mining; Differential equations; Guidelines; Humans; Information science; Nonlinear equations; Numerical analysis; Physics computing; Robots;
  • 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.1991.138456
  • Filename
    138456