Massively-Parallel Inferencing for Natural language Understanding and Memory Retrieval in Structured Spreading-Activation Networks

This paper provides an overview of ROBIN and REMIND, two structured connectionist models that provide a potential explanation for these abilities and that perform natural language understanding and episodic memory retrieval using parallel dynamic inferencing and constraint satisfaction.