Comparative Analysis

Comparative analysis is the problem of predicting how a system will react to perturbations in its parameters, and why. For example, comparative analysis could be asked to explain why the period of an oscillating spring/block system would increase if the mass of the block were larger. This pap...

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Main Author: Weld, Daniel S.
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6466
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author Weld, Daniel S.
author_facet Weld, Daniel S.
author_sort Weld, Daniel S.
collection MIT
description Comparative analysis is the problem of predicting how a system will react to perturbations in its parameters, and why. For example, comparative analysis could be asked to explain why the period of an oscillating spring/block system would increase if the mass of the block were larger. This paper formalizes the problem of comparative analysis and presents a technique, differential qualitative (DQ) analysis, which solves the task, providing explanations suitable for use by design systems, automated diagnosis, intelligent tutoring systems, and explanation-based generalization. DQ analysis uses inference rules to deduce qualitative information about the relative change of system parameters. Multiple perspectives are used to represent relative change values over intervals of time. Differential analysis has been implemented, tested on a dozen examples, and proven sound. Unfortunately, the technique is incomplete; it always terminates, but does not always return an answer.
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spelling mit-1721.1/64662019-04-10T07:30:13Z Comparative Analysis Weld, Daniel S. Comparative analysis is the problem of predicting how a system will react to perturbations in its parameters, and why. For example, comparative analysis could be asked to explain why the period of an oscillating spring/block system would increase if the mass of the block were larger. This paper formalizes the problem of comparative analysis and presents a technique, differential qualitative (DQ) analysis, which solves the task, providing explanations suitable for use by design systems, automated diagnosis, intelligent tutoring systems, and explanation-based generalization. DQ analysis uses inference rules to deduce qualitative information about the relative change of system parameters. Multiple perspectives are used to represent relative change values over intervals of time. Differential analysis has been implemented, tested on a dozen examples, and proven sound. Unfortunately, the technique is incomplete; it always terminates, but does not always return an answer. 2004-10-04T14:57:18Z 2004-10-04T14:57:18Z 1987-11-01 AIM-951 http://hdl.handle.net/1721.1/6466 en_US AIM-951 5737727 bytes 2139312 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Weld, Daniel S.
Comparative Analysis
title Comparative Analysis
title_full Comparative Analysis
title_fullStr Comparative Analysis
title_full_unstemmed Comparative Analysis
title_short Comparative Analysis
title_sort comparative analysis
url http://hdl.handle.net/1721.1/6466
work_keys_str_mv AT welddaniels comparativeanalysis