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Rule Representations in a Connectionist Chunker
Touretzky, David S., III, Gillette Elvgreen
We present two connectionist architectures for chunking of symbolic rewrite rules. One uses backpropagation learning, the other competitive learning. Although they were developed for chunking the same sorts of rules, the two differ in their representational abilities and learning behaviors.
Rule Representations in a Connectionist Chunker
Touretzky, David S., III, Gillette Elvgreen
We present two connectionist architectures for chunking of symbolic rewrite rules. One uses backpropagation learning, the other competitive learning. Although they were developed for chunking the same sorts of rules, the two differ in their representational abilities and learning behaviors.
Rule Representations in a Connectionist Chunker
Touretzky, David S., III, Gillette Elvgreen
We present two connectionist architectures for chunking of symbolic rewrite rules. One uses backpropagation learning, the other competitive learning. Although they were developed for chunking the same sorts of rules, the two differ in their representational abilities and learning behaviors.