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Connectionist Inference Models

Browne, Antony and Sun, Ron (2001) Connectionist Inference Models. [Journal (On-line/Unpaginated)] (In Press)

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Abstract

The performance of symbolic inference tasks has long been a challenge to connectionists. In this paper, we present an extended survey of this area. Existing connectionist inference systems are reviewed, with particular reference to how they perform variable binding and rule-based reasoning, and whether they involve distributed or localist representations. The benefits and disadvantages of different representations and systems are outlined, and conclusions drawn regarding the capabilities of connectionist inference systems when compared with symbolic inference systems or when used for cognitive modeling.

Item Type:Journal (On-line/Unpaginated)
Keywords:Symbolic inference, resolution, variable binding, localist representation, distributed representation, connectionist.
Subjects:Psychology > Cognitive Psychology
Computer Science > Artificial Intelligence
Computer Science > Neural Nets
ID Code:1788
Deposited By:Antony, Browne
Deposited On:04 Sep 2001
Last Modified:11 Mar 2011 08:54

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