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Abstract: This thesis addresses a set of problems faced by connectionist learning that have originated from the observation that connectionist cognitive models lack two fundamental properties of the mind: Generativity, stemming from the boundless cognitive competence one can exhibit, and systematicity, due to the existence of symmetries within them. Such properties have seldom been seen in neural networks models, which have typically suffered from problems of inadequate generalization, as examplified... (Update)
Context of citations to this paper: More
.... that the challenge can be met (e.g. Pollack, 1988, 1990; Smolensky, 1990; Chalmers, 1990; Niklasson and Sharkey, 1992; Brousse, 1993). Unfortunately, it has generally been unclear whether these models actually do have this implication (see, for instance, the...
.... not that detrimental to generalization in a purely feedforward network (e.g. as demonstrated in a componential generalization task; Brousse, 1993), but it proves far more damaging in the context of the attractor dynamics in an interactive network. Therefore, it seems likely...
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BibTeX entry: (Update)
Brousse, O. (1993). Generativity and systematicity in neural network combinatorial learning. http://citeseer.ist.psu.edu/brousse93generativity.html More
@misc{ brousse93generativity,
author = "O. Brousse",
title = "Generativity and systematicity in neural network combinatorial learning",
text = "Brousse, O. (1993). Generativity and systematicity in neural network combinatorial
learning.",
year = "1993",
url = "citeseer.ist.psu.edu/brousse93generativity.html" }
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