
Accession Number : ADA183633
Title : Extracting Qualitative Dynamics from Numerical Experiments,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Personal Author(s) : Yip,Kenneth M
PDF Url : ADA183633
Report Date : Mar 1987
Pagination or Media Count : 21
Abstract : One central problem in Qualitative Physics is the qualitative prediction of longtime behavior of physical systems. The machinery developed for qualitative reasoning  qualitative state vector, quantity space, and limit analysis  are largely applicable to systems which are piecewise well approximated by loworder linear systems or by firstorder nonlinear differential equations. Typical nonlinear systems  those commonly encountered in Physics  exhibit a far richer spectrum of dynamical behavior. Look at the simplest non trivial form of conservative systems, the areapreserving maps, to provide a new source of examples for investigation into the fundamental issues of descriptive language, style of reasoning, and representation techniques. To automate the experimenting process, two key problems automatic experiment control, and result interpretation, have to be solved. Knowledge of qualitative dynamics and bifurcaitons provides a strong constraint on the type of dynamical behavior possible. This constraint can be exploited to solve the problems. An approach to the control problem is based on this idea. The main result is an implemented program which solves the interpretation problem by using techniques from computational geometry and computer vision.
Descriptors : *DYNAMICS, *QUALITATIVE ANALYSIS, BEHAVIOR, COMPUTATIONS, CONTROL, DYNAMICS, EXTRACTION, GEOMETRY, LANGUAGE, LINEAR SYSTEMS, LONG RANGE(TIME), NONLINEAR DIFFERENTIAL EQUATIONS, NONLINEAR SYSTEMS, NUMERICAL METHODS AND PROCEDURES, PHYSICAL PROPERTIES, PHYSICS, PREDICTIONS, REASONING, SPECTRA, BIFURCATION(MATHEMATICS), MATHEMATICAL PREDICTION, BEHAVIOR, COMPUTATIONS, COMPUTERS, CONTROL, DYNAMICS, EXTRACTION, GEOMETRY, LANGUAGE, LINEAR SYSTEMS, LONG RANGE(TIME), NONLINEAR DIFFERENTIAL EQUATIONS, NONLINEAR SYSTEMS, NUMERICAL METHODS AND PROCEDURES, PHYSICAL PROPERTIES, PHYSICS, PREDICTIONS, REASONING, SOURCES, SPECTRA, VISION
Subject Categories : Operations Research
Distribution Statement : APPROVED FOR PUBLIC RELEASE