Abstract
Many current expert systems are constructed in a rule based fashion. That is, using a series of rules or productions which implement the reasoning logic of the system. While such an approach is well suited to the task of building expert systems, it is not well suited to their implementation via conventional Von-Neumann architectures.What is required is an architecture which is more appropriate for evaluating and executing rules. Such a machine requires the ability to perform many small, heterogenous operations in parallel. A dataflow machine provides just such an ability and there is a natural mapping which may be exploited from rules to a series of dataflow templates.
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