A connectionist inference mechanism for a natural languageunderstanding system

摘要

We have developed the Connectionist Inference Mechanism (CIM) toserve as a connectionist alternative to the symbolic inference module ofP. Buchheit's (1991) Informational Network For A Natural Thinking(INFANT) System. CIM consists of several modules working together,including memory, neural networks, and a binding set. Its main task isto perform inference generation with the capability of variable binding.CIM is essentially a hybrid cognitive model that combines the advantagesof a symbolic approach, local representation, and parallel distributedprocessing. It can be shown that each approach complements and supportsthe others