creators_name: Browne, Antony
creators_name: Sun, Ron
type: journale
datestamp: 2001-09-04
lastmod: 2011-03-11 08:54:47
metadata_visibility: show
title: Connectionist Inference Models
ispublished: inpress
subjects: cog-psy
subjects: comp-sci-art-intel
subjects: comp-sci-neural-nets
full_text_status: public
keywords: Symbolic inference, resolution, variable binding, localist representation, distributed representation, connectionist.
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.

date: 2001
date_type: published
publication: Neural Networks (In Press)
publisher: Pergamon
refereed: TRUE
citation:   Browne, Antony and Sun, Ron  (2001) Connectionist Inference Models.  [Journal (On-line/Unpaginated)]    (In Press)  
document_url: http://cogprints.org/1788/1/BroSunPreprint.pdf
document_url: http://cogprints.org/1788/5/BroSunPreprint.ps