By the same authors

Extending the Associative Rule Chaining Architecture for Multiple Arity Rules

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Title of host publicationProceedings of the Ninth International Workshop on Neural-Symbolic Learning and Reasoning
DatePublished - 2013
Pages47-51
Number of pages5
Original languageEnglish

Abstract

The Associative Rule Chaining Architecture uses distributed associative memories and superimposed distributed representations in order to perform rule chaining efficiently [Austin et al., 2012]. Previous work has focused on rules with only a single antecedent, in this work we extend the architecture to work with multiple-arity rules and show that it continues to operate effectively.

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