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[Ron Sun]

The following paper will appear in the Proc.13th Annual Conference
of Cognitive Science Society.
It is a revised version of an earlier TR entitle "Integrating Rules 
and Connectionism for  Robust Reasoning"

         Connectionist Models of Rule-Based Reasoning

                         Ron Sun
                   Brandeis University
               Computer Science Department
                    rsun at cs.brandeis.edu




We investigate connectionist models of rule-based
reasoning, and show that while such models usually carry out 
reasoning in exactly the same way as symbolic systems,
they have more to offer in terms of commonsense reasoning.
A connectionist architecture for commonsense reasoning,CONSYDERR, 
is proposed to account for common reasoning patterns 
and to remedy the brittleness problem in traditional 
rule-based systems.  A dual representational
scheme is devised, which utilizes both localist and distributed 
representations and explores the synergy resulting  from 
the interaction between the two.  {CONSYDERR} is therefore 
capable of accounting for many difficult patterns in commonsense 
reasoning.  This work shows that connectionist models of 
reasoning are not just ``implementations" of their symbolic 
counterparts, but better computational models of commonsense 
reasoning.



------------ FTP procedures  -------------------------
(thanks to the service provided by Jordan Pollack) ---


ftp cheops.cis.ohio-state.edu
>name: anonymous
>passwork: neuron

>binary
>cd pub/neuroprose
>get sun.cogsci91.ps.Z 
>quit

uncompress sun.integrate.ps.Z
lpr sun.cogsci91.ps