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A connectionist inference mechanism for a natural language understanding system

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3 Author(s)
Lalitrojwong, P. ; Fac. of Inf. Technol., King Mongkut''s Inst. of Technol., Bangkok, Thailand ; Buchheit, P. ; Evens, M.W.

We have developed the Connectionist Inference Mechanism (CIM) to serve as a connectionist alternative to the symbolic inference module of P. 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 is to perform inference generation with the capability of variable binding. CIM is essentially a hybrid cognitive model that combines the advantages of a symbolic approach, local representation, and parallel distributed processing. It can be shown that each approach complements and supports the others

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Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on

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