At present, the prevailing Connectionist methodology for
representing rules is to
implicitly embody rules in

neurally-wired

networks. That is, the methodology adopts the stance that rules must either be hard-wired or

trained into

neural structures, rather than represented via explicit symbolic structures. Even recent attempts to implement
production systems within connectionist networks have assumed that condition-action rules (or rule schema) are to be embodied in the
structure of individual networks. Such networks must be grown or trained over a significant span of time. However, arguments are presented herein that humans
sometimes follow rules which are
very rapidly assigned
explicit internal representations, and that humans possess
general mechanisms capable of interpreting and following such rules. In particular, arguments are presented that the
speed with which humans are able to follow rules of
novel structure demonstrates the existence of general-purpose rule following mechanisms. It is further argued that the existence of general-purpose rule following mechanisms strongly indicates that explicit rule following is not an
isolated phenomenon, but may well be a common and important aspect of cognition. The relationship of the foregoing conclusions to Smolensky''s view of explicit rule following is also explored. The arguments presented here are pragmatic in nature, and are contrasted with the
kind of arguments developed by Fodor and Pylyshyn in their recent, influential paper.
Key words Connectionism - representation - explicit rules