A connectionist inference mechanism for a natural language understanding system

Lalitrojwong, Pattarachai; Buchheit, Paul; Evens, Martha W.

doi:10.1109/ICIIS.1999.810349

A connectionist inference mechanism for a natural language understanding system

Author(s)

Lalitrojwong, Pattarachai

Buchheit, Paul

Evens, Martha W.

Date Issued

January 1, 1999

Type

Conference Paper

DOI

10.1109/ICIIS.1999.810349

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.

Citation

Proceedings 1999 International Conference on Information Intelligence and Systems Iciis 1999, 570-573, 1999