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Discovery of physical principles from design experiences

Published online by Cambridge University Press:  27 February 2009

Sambasiva R. Bhatta  and
Ashok K. Goel
Sambasiva R. Bhatta
Affiliation:
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332–0280
Ashok K. Goel
Affiliation:
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332–0280
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Abstract

One method for making analogies is to access and instantiate abstract domain principles, and one method for acquiring knowledge of abstract principles is to discover them from experience. We view generalization over experiences in the absence of any prior knowledge of the target principle as the task of hypothesis formation, a subtask of discovery. Also, we view the use of the hypothesized principles for analogical design as the task of hypothesis testing, another subtask of discovery. In this paper, we focus on discovery of physical principles by generalization over design experiences in the domain of physical devices. Some important issues in generalization from experiences are what to generalize from an experience, how far to generalize, and what methods to use. We represent a reasoner's comprehension of specific designs in the form of structure-behavior-function (SBF) models. An SBF model provides a functional and causal explanation of the working of a device. We represent domain principles as device-independent behavior-function (BF) models. We show that (1) the function of a device determines what to generalize from its SBF model, (2) the SBF model itself suggests how far to generalize, and (3) the typology of functions indicates what method to use.

Keywords

Analogical ReasoningQualitative ModelsModel-based Learning
Type
Articles
Information
AI EDAM , Volume 8 , Issue 2 , Spring 1994 , pp. 113 - 123
Copyright
Copyright © Cambridge University Press 1994

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