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
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;
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
DOI :
10.1109/AIHAS.1991.138456