---
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.\n"
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creators_name:
- family: Browne
given: Antony
honourific: ''
lineage: ''
- family: Sun
given: Ron
honourific: ''
lineage: ''
date: 2001
date_type: published
datestamp: 2001-09-04
department: ~
dir: disk0/00/00/17/88
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editors_id: []
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eprint_status: archive
eprintid: 1788
fileinfo: /style/images/fileicons/application_pdf.png;/1788/1/BroSunPreprint.pdf|/style/images/fileicons/application_postscript.png;/1788/5/BroSunPreprint.ps
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: inpress
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
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item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'Symbolic inference, resolution, variable binding, localist representation, distributed representation, connectionist.'
lastmod: 2011-03-11 08:54:47
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
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pubdom: FALSE
publication: Neural Networks (In Press)
publisher: Pergamon
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 14
series: ~
source: ~
status_changed: 2007-09-12 16:40:27
subjects:
- cog-psy
- comp-sci-art-intel
- comp-sci-neural-nets
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Connectionist Inference Models
type: journale
userid: 2152
volume: ~