TY - THES
A1 - Balazs, Marton E.
A2 - Brown, David C.
A2 - Becker, Lee A.
A2 - Goel, Ashok
A2 - Selkow, Stanley
AB - Ever since artifacts have been produced, improving them has been a common human activity. Improving an artifact refers to modifying it such that it will be either easier to produce, or easier to use, or easier to fix, or easier to maintain, and so on. In all of these cases, ""easier"" means fewer resources are required for those processes. While 'resources' is a general measure, which can ultimately be expressed by some measure of cost (such as time or money), we believe that at the core of many improvements is the notion of reduction of complexity, or in other words, simplification. This talk presents our research on performing design simplification using analogical reasoning.
We first define the simplification problem as the problem of reducing the complexity of an artefact from a given point of view. We propose that a point of view from which the complexity of an artefact can be measured consists of a context, an aspect and a measure. Next, we describe an approach to solving simplification problems by goal-directed analogical reasoning, as our implementation of this approach. Finally, we present some experimental results obtained with the system.
The research presented in this dissertation is significant as it focuses on the intersection of a number of important, active research areas - analogical reasoning, functional representation, functional reasoning, simplification, and the general area of AI in Design.
DA - 2000/02/09
DB - Digital WPI
DP - Worcester Polytechnic Institute
ID - etd-0209100-051108
KW - model based analogical reasoning
KW - simplification
KW - Design
KW - complexity
L1 - https://digital.wpi.edu/show/ks65hc23n
LA - English
LK - https://digital.wpi.edu/
PB - Worcester Polytechnic Institute
PY - 2000
T1 - Design Simplification by Analogical Reasoning
UR - https://digital.wpi.edu/show/w9505056r
ER -