Using Exemplary Knowledge for Justified Analogical Reasoning (1995)
| Venue: | WOCFAI '95 -- PROCEEDINGS OF THE SECOND WORLD CONFERENCE ON THE FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Kerber95usingexemplary,
author = {Manfred Kerber and Erica Melis},
title = {Using Exemplary Knowledge for Justified Analogical Reasoning},
booktitle = {WOCFAI '95 -- PROCEEDINGS OF THE SECOND WORLD CONFERENCE ON THE FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE},
year = {1995},
pages = {157--168},
publisher = {Angkor}
}
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Abstract
Typical instances, that is, instances that are representative for a particular situation or concept, play an important role in human knowledge representation and reasoning, in particular in analogical reasoning. This well-known observation has been a motivation for investigations in cognitive psychology which provide a basis for our characterization of typical instances within concept structures and for a new inference rule for justified analogical reasoning with typical instances. In a nutshell this paper suggests to augment the propositional knowledge representation system by a non-propositional part consisting of concept structures which may have directly represented instances as elements. The traditional reasoning system is extended by a rule for justified analogical inference with typical instances using information extracted from both knowledge representation subsystems.
