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Poster/Conférence:
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Clé de citation BibTeX: Kuehnea
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Kuehne, S. E., Gentner, D., & Forbus, K. D. (2000). Modeling infant learning via symbolic structural alignment. Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society, pp. 286–291.
Ajoutée par: Sterenn Audo 2008-01-22 12:13:08
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Résumé
Understanding the mechanisms of learning is one of the central
questions of Cognitive Science . Recently Marcus et al .
showed that seven-month-old infants can learn to recognize
regularities in simple language-like stimuli . Marcus proposed
that these results could not be modeled via existing connectionist
systems, and that such learning requires infants to be
constructing rules containing algebraic variables . This paper
proposes a third possibility : that such learning can be explained
via structural alignment processes operating over
structured representations . We demonstrate the plausibility of
this approach by describing a simulation, built out of previously
tested models of symbolic similarity processing, that
models the Marcus data . Unlike existing connectionist simulations,
our model learns within the span of stimuli presented
to the infants and does not require supervision . It can handle
input with and without noise . Contrary to Marcus' proposal,
our model does not require the introduction of variables . It
incrementally abstracts structural regularities, which do not
need to be fully abstract rules for the phenomenon to appear .
Our model also proposes a processing explanation for why infants
attend longer to the novel stimuli . We describe our
model and the simulation results and discuss the role of structural
alignment in the development of abstract patterns and
rules .
Ajoutée par: Sterenn Audo
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Idées
pdf dispo
Ajoutée par: Sterenn Audo
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