Connectionism

Known as: Connectionist revolution, Parallel Distributed Processing, Relational network 
Connectionism is a set of approaches in the fields of artificial intelligence, cognitive psychology, cognitive science, neuroscience, and philosophy… (More)
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… (More)
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Highly Cited
2011
Highly Cited
2011
  • 2011
In recent years, much research has been devoted to the simulation of write-ahead logging; unfortunately, few hav e simulated the… (More)
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Highly Cited
2011
Highly Cited
2011
  • 2011
The machine learning method to A* search is defined not only by the refinement of rasterization, but also by the intuitive need… (More)
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… (More)
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Highly Cited
2004
Highly Cited
2004
This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing… (More)
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Review
1998
Review
1998
This review summarizes a range of theoretical approaches to language acquisition. It argues that language representations emerge… (More)
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1997
1997
  • Gerard O’Brien
  • 1997
In Connectionism and the Philosophy of Psychology, Horgan and Tienson (1996) argue that cognitive processes, pace classicism, are… (More)
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Highly Cited
1996
Highly Cited
1996
One of the implications of connectionist work on language is that the "language mechanism" is not essentially different from… (More)
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Highly Cited
1994
Highly Cited
1994
  • Ron Sun
  • Sixth-generation computer technology series
  • 1994
Where you can find the integrating rules and connectionism for robust commonsense reasoning easily? Is it in the book store? On… (More)
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1990
1990
This paper examines the implications of connectionist models of cognition for second language theory. Connectionism offers a… (More)
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