Title :
Building models for qualitative prediction of system dynamic behavior
Author :
Lee, Sukhan ; Chen, Judy
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
The authors present a method of automatically constructing a model or a set of constraints from domain principles for solving the dynamic behavior of a mechanical system through qualitative simulation. The following issues are emphasized: (1) the extraction of a necessary and sufficient set of system constraints which provides the minimum uncertainty associated with qualitative simulation, and (2) the modification of system constraints through time by detecting and identifying ´system discontinuities´. The first is accomplished by describing a mechanical system by a collection of object and inter-connection primitives, which allows selection of the final set of constraints having the minimum complexity and uncertainty, based on the A* algorithm with heuristics providing the problem solving expertise. The second is accomplished by monitoring whether the states of any individual subsystems evolve to system discontinuities represented by intra/inter subsystem critical states
Keywords :
artificial intelligence; knowledge based systems; modelling; simulation; artificial intelligence; domain principles; mechanical system; minimum complexity; minimum uncertainty; model building; qualitative prediction; qualitative simulation; set of constraints; system constraints; system dynamic behavior; Buildings; Laboratories; Mechanical systems; Physics; Predictive models; Problem-solving; Production systems; Propulsion; Time factors; Uncertainty;
Conference_Titel :
Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-2084-6
DOI :
10.1109/TAI.1990.130352