Rethinking Sigma’s Graphical Architecture: An Extension to Neural Networks
ARTIFICIAL GENERAL INTELLIGENCE (AGI 2016)(2016)
Abstract
The status of Sigma’s grounding in graphical models is challenged by the ways in which their semantics has been violated while incorporating rule-based reasoning into them. This has led to a rethinking of what goes on in its graphical architecture, with results that include a straightforward extension to feedforward neural networks (although not yet with learning).
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Key words
Cognitive architecture,Graphical models,Neural network
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