Davies Martin. Knowledge of Rules in Connectionist Networks. In: Intellectica. Revue de l'Association pour la Recherche Cognitive, n°9-10, 1990/1. Modèles connexionnistes, sous la direction de Daniel Memmi et Yves-Marie Visetti. pp. 81-126
For a connectionist network to be able to learn to generalize well, there must be some correspondenc...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Fodor and Pylyshyn argued that connectionist models could not be used to exhibit and explain a pheno...
Davies Martin. Knowledge of Rules in Connectionist Networks. In: Intellectica. Revue de l'Associatio...
Three models of connectionist rule processing are presented and discussed: Shastri and Ajjanagadde's...
At present, the prevailing Connectionist methodology for representing rules is to implicitly embody ...
Rules encoded by traditional rule-based systems are brittle and inflexible because it is difficult t...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
This thesis addresses the problem of efficiently representing large knowledge bases and performing a...
The overall aim of the paper is to demonstrate that, from a machine learning point of view, connecti...
In Representations without Rules, Connectionism and the Syntactic Argument , Kenneth Aizawa argues ...
International audienceThis book introduces a host of connectionist models of cognition and behavior....
AbstractThe paper presents a connectionist framework that is capable of representing and learning pr...
This paper explores the question of whether connectionist models of cognition should be considered t...
Cognitive scientists used to deem reasoning either as a higher cognitive process based on the manipu...
For a connectionist network to be able to learn to generalize well, there must be some correspondenc...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Fodor and Pylyshyn argued that connectionist models could not be used to exhibit and explain a pheno...
Davies Martin. Knowledge of Rules in Connectionist Networks. In: Intellectica. Revue de l'Associatio...
Three models of connectionist rule processing are presented and discussed: Shastri and Ajjanagadde's...
At present, the prevailing Connectionist methodology for representing rules is to implicitly embody ...
Rules encoded by traditional rule-based systems are brittle and inflexible because it is difficult t...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
This thesis addresses the problem of efficiently representing large knowledge bases and performing a...
The overall aim of the paper is to demonstrate that, from a machine learning point of view, connecti...
In Representations without Rules, Connectionism and the Syntactic Argument , Kenneth Aizawa argues ...
International audienceThis book introduces a host of connectionist models of cognition and behavior....
AbstractThe paper presents a connectionist framework that is capable of representing and learning pr...
This paper explores the question of whether connectionist models of cognition should be considered t...
Cognitive scientists used to deem reasoning either as a higher cognitive process based on the manipu...
For a connectionist network to be able to learn to generalize well, there must be some correspondenc...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Fodor and Pylyshyn argued that connectionist models could not be used to exhibit and explain a pheno...
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