An Efficient Hybrid Rule Based Inference Engine with Explanation Capability

May 2001

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2001)

Volume

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2001)

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An inference engine for a hybrid representation scheme based on neurules is presented. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit). The inference engine uses a connectionist technique, which is based on the firing potential, a measurement of the firing tendency of a neurule, and symbolic pattern matching. It is proved to be more efficient and natural than pure connectionist inference engines. Explanation of how type can be provided in the form of if-then symbolic rules.