Representing knowlegde about pattern recognition

AI has to be able to learn and develop new ways of recognizing
patterns. AI must have modifiable templates for describing state
classes. It is not enough that computer code does different kinds of
recognizing tasks. AI must have those recognized pattern types
described with same kind of symbolic nodes and links as any other
knowledge / understanding-data. Then, computer code can be made from
that.

When learning to transcribe or understand voices of new language, AI
could test thousands of different recognition templates, guided by
some rough metrics indirectly indicating meaningfullness of text.

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Relevant Pages

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