A connectionist inference mechanism for a natural language understanding system

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Lalitrojwong, Pattarachai, Buchheit, Paul and Evens, Martha W. (1999) A connectionist inference mechanism for a natural language understanding system In: 1999 International Conference on Information Intelligence and Systems, Bethesda, MD, USA.

Abstract

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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Conference or Workshop Item (Paper)

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ระบบ อัตโนมัติ

Date Deposited:

2021-09-09 23:53:47

Last Modified:

2023-05-19 03:43:44

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