Connectionist Inference Preprint

[Tony Browne]

Apologies if you receive this posting more than once.

A preprint is available for download, of the paper 
'Connectionist Inference Models' by Antony Browne and Ron 
Sun (to appear in `Neural Networks'). 62 Pages, 155 
References.

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.

Keywords: Symbolic inference, resolution, variable binding, 
localist representations, distributed representations.

Download Instructions: Go to 
http://www.lgu.ac.uk/~abrowne/abrowne.htm and scroll down 
to the section 'Downloadable Technical Reports and 
Preprints'. Click on the file to download (in zipped 
Postscript [190K] or Zipped PDF [228K] format).

Comments Welcome

If you have problems downloading, please e-mail me.

Tony Browne

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Dr. Antony Browne abrowne at lgu.ac.uk
http://www.lgu.ac.uk/~abrowne/abrowne.htm
Reader in Intelligent Systems
School of Computing, Information Systems & Mathematics
London Guildhall University
100 Minories
London EC3 1JY, UK
Tel: (+44) 0207 320 1307
Fax: (+44) 0207 320 1717
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