Improving the Associative Rule Chaining Architecture
نویسندگان
چکیده
This paper describes improvements to the rule chaining architecture presented in [1]. The architecture uses distributed associative memories to allow the system to utilise memory efficiently, and superimposed distributed representations in order to reduce the time complexity of a tree search to O(d), where d is the depth of the tree. This new work reduces the memory required by the architecture, and can also further reduce the time complexity.
منابع مشابه
Extending the Associative Rule Chaining Architecture for Multiple Arity Rules
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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