Marker-passing on a parallel knowledge processing testbed

The authors have been experimenting with knowledge representation and reasoning mechanisms suitable for parallel computation. Their primary domain is natural language understanding (NLU) using a semantic network representation and parallel marker-passing techniques. They have implemented a multiprocessor called the Semantic Network Array Processor (SNAP-1) for real-time processing of moderately-sized knowledge bases.<<ETX>>