title: |
Completing rule bases in symbolic domains by analogy making |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 928 - 934 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Henri Prade, Steven Schockaert |
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publication date: |
July 2011 |
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keywords: |
Commonsense reasoning; analogical
proportions; incomplete information; if-then rules |
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abstract: |
The paper considers the problem of completing a
set of parallel if-then rules that provides a partial
description of how a conclusion variable depends on
the values of condition variables, where each variable takes its value among a finite ordered set of
labels. The proposed approach does not require the
use of fuzzy sets for the interpretation of these labels
or for defining similarity measures, but rather relies
on the extrapolation of missing rules on the basis of
analogical proportions that hold for each variable
between the labels of several parallel rules. The
analogical proportions are evaluated for binary and
multiple-valued variables on the basis of a logical
expression involving Lukasiewicz implication. The
underlying assumption is that the mapping partially
specified by the given rules is as regular as suggested
by these rules. A comparative discussion with other
approaches is presented. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |