Résumé
Connectionism has been gaining ground as a psychological
modeling
technique and shows great promise as a way to build fast,
robust
systems to perform intelligent tasks. Connectionism
contrasts with
the older tradition, that of explaining intelligent
behavior in terms
of the manipulation of complex symbol structures. Without
expecting
either style of research to be exclusively correct, it is
still
important to seek out the relative strengths and weaknesses
of each.
The partisans of the two camps have leapt to the challenge;
the
controversy has been fierce, as befits the prize-acceptance
as the
best technique for understanding people and building
intelligent
systems.
Language, the quintessential human activity, is often used
as a
touchstone for the two approaches. The traditional approach
views
language as composed of symbols and language use as the
manipulation
of symbol structures. Connectionists have largely conceded
to this,
accepting the idea of structure as an essential component
of
language.
This book calls into question this common assumption, that
"structure
is necessary for language modeling," by presenting a
generator which
produces appropriate natural language utterances without
building
structures along the way. It backs up this demonstration by
an
analysis of the generation task, which leads to the
conclusion that
massively parallel computation and numeric combination of
evidence
are in fact intrinsically necessary for generation, and
that,
conversely, structure building is computationally
awkward.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Ablex |
Auteur(s) | Nigel Ward |
Parution | 10/03/1994 |
Nb. de pages | 298 |
Format | 15 x 23 |
Poids | 400g |
EAN13 | 9781567500387 |
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