Abstract: "Many recent connectionist models can be categorized as associative memories or pattern classifiers. Viewed at the right level of abstraction, the two are the same. Connectionists sometimes appear to be trying to squeeze all of cognition into the associative memory paradigm, perhaps because it's the only thing they know how to implement with gradient descent learning algorithms. But the combinatorial structure of thought and language indicates that the answer to 'How can slow components think so fast' lies beyond mere associative recall. We must search for additional cognitive primitives that can be implemented in parallel hardware. One modest successor to associative recall is considered here.
Finding efficient patterns of connectivity in sparse associative memories is a difficult problem. It...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
Recent convolution-based models of human memory (e.g. Lewandowsky & Murdock, 1989), have accounted f...
The dissertation represents a critical evaluation of the major connectionist theories of human cogni...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
cognitive) theory of mind. And sure enough, though behaviorism all but disappeared, associationism h...
This paper aims to offer a new view of the role of connectionist models in the study of human cognit...
Recent convolution-based models of human memory (e.g. Lewandowsky & Murdock, 1989), have accounted f...
basic assumption of much of AI, that mental processes are best viewed as algorithmic symbol manipula...
The mathematical operation of convolution is used as an associative mechanism by several recent infl...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.While connectionist models ha...
A crucial step towards the representation of structured, symbolic knowledge in a connectionist syste...
In the first section of the article, we examine some recent criticisms of the connectionist enterpri...
There has been an enduring tension in modern cognitive psychology between the computational models a...
Connectionist architectures constitute a popular method for modelling animal associative learning pr...
Finding efficient patterns of connectivity in sparse associative memories is a difficult problem. It...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
Recent convolution-based models of human memory (e.g. Lewandowsky & Murdock, 1989), have accounted f...
The dissertation represents a critical evaluation of the major connectionist theories of human cogni...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
cognitive) theory of mind. And sure enough, though behaviorism all but disappeared, associationism h...
This paper aims to offer a new view of the role of connectionist models in the study of human cognit...
Recent convolution-based models of human memory (e.g. Lewandowsky & Murdock, 1989), have accounted f...
basic assumption of much of AI, that mental processes are best viewed as algorithmic symbol manipula...
The mathematical operation of convolution is used as an associative mechanism by several recent infl...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.While connectionist models ha...
A crucial step towards the representation of structured, symbolic knowledge in a connectionist syste...
In the first section of the article, we examine some recent criticisms of the connectionist enterpri...
There has been an enduring tension in modern cognitive psychology between the computational models a...
Connectionist architectures constitute a popular method for modelling animal associative learning pr...
Finding efficient patterns of connectivity in sparse associative memories is a difficult problem. It...
A modular connectionist network is described that learns the German verb paradigm. The architecture ...
Recent convolution-based models of human memory (e.g. Lewandowsky & Murdock, 1989), have accounted f...