Subsymbolic AI
attacks the assumption of
symbolic
and
statistical AI
that intelligence can be achieved by reasoning about the state of the world. Instead it posits that intelligence must be
embodied
i.e. situated in the world, equipped with a “body” that can interact with it via sensors and actuators. The main method for realizing intelligent behavior is by learning from the world, i.e.
machine learning.
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