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Poster/Conférence:
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Clé de citation BibTeX: Forbusa
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Forbus, K. D., Gentner, D., Everett, J. O., & Wu, M. L. (1997). Towards a computational model of evaluating and using analogical inferences. Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, pp. 229–234.
Ajoutée par: Sterenn Audo 2008-01-22 14:17:58
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Résumé
Reasoning by analogy is a central phenomena in cognition.
Existing computational models of analogy provide accounts of
how analogical inferences are generated, but do not specify
how they might be evaluated or integrated with other methods
of reasoning. This paper extends the model of analogical inference
in structure-mapping theory in two ways. First, we
propose techniques for the structural evaluation of analogical
inferences, to model one of the factors people appear to use in
evaluating the plausibility of arguments based on comparisons.
Second, we propose an information-level model of analogical
inferences that supports reasoning about correspondences and
mappings. We describe how this model fits with existing psychological
evidence and illustrate its operation on several examples,
using a computer simulation. These examples include
evaluating the validity of a qualitative mental model and a prototype
case-based coach that is being added to an alreadyfielded
intelligent learning environment.
Ajoutée par: Sterenn Audo
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Idées
pdf dispo
Ajoutée par: Sterenn Audo
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