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Title:Qualitative reasoning about fluids and mechanics
Author(s):Kim, Hyeonkyeong
Doctoral Committee Chair(s):DeJong, Gerald F.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Computer Science
Abstract:Understanding people's commonsense knowledge about physical world is a fundamental problem in building intelligent systems. If this knowledge can be represented and used by computers, they can duplicate people's ability to understand and interact with the world. Qualitative physics is the attempt to capture and formalize this knowledge. An important aspect of qualitative reasoning is the ability to derive the possible behaviors of a given physical system from the structure of the system, using minimal initial information.
This thesis investigates qualitative domain theories and reasoning techniques which will enable computers to analyze the qualitative behaviors of physical systems which include both mechanical mechanisms and fluids, such as internal combustion engines and hydraulic lift pumps. We have developed a domain theory which integrates richer models of mechanics, fluids, and geometry than previous research in qualitative physics. These theories and inference techniques are embodied in QSA, a program that produces possible behaviors of physical systems.
Issue Date:1993
Rights Information:Copyright 1993 Kim, Hyeonkyeong
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9411669
OCLC Identifier:(UMI)AAI9411669

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