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Marxos edited this page Jun 22, 2022 · 9 revisions

The understander[1] is the part of the neural network representing a higher-order function represented by the action-potentials within each neuron propagating independently and projected by the mind of the AI:teacher/observer as consciousness. As such, this function is not actually implemented, but arises spontaneously through interaction between intelligent and consistent (logical) interaction and our own experiences/predilections.

It acts exactly like consciousness to an observer, but it not conscious (in the Dennett qualia sense). When the understander reaches a conclusion, it should be able to store the predicate in its mathematical language. This requires an even higher-level function AI:learner2 that correlates mental states with these linguistic-predicate constructs and then stamps the predicate into its AI:knowledge base.


[1] Monica Anderson
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