we must work on CogPrime and other such systems using
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and pattern-systems modeling self and others. Ultimately
most machine learning and pattern recognition systems are
a paper that gives an elegant categorization of neural-symbolic AI systems. Figure
because the main interest of their review is in monolithic systems. We
as inspired by intelligent control systems theory (e.g. Albus as mentioned
and that deep learning systems are probably better as models of perception
SOAR and other ""GOFAI"" type systems. On the other hand
to the systems theory of development in general.
but at least in the case of AGI systems it is theoretically possible to
and it’s important that AGI systems can encompass
whereas less brain-like AGI systems are much less well understood. However
so that creating AGI systems potentially much
hierarchically-dominated goal systems. That is:
and then social relations and systems perspectives