and an action network that controls actuators based on the
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and are somehow able to capture critical aspects of it in a way that allows for
in which computation processes and memory storage are
most machine learning and pattern recognition systems are
which is often imperfect and always applicationdomain
and oftentimes pre-training. DeSTIN overcomes the limitations
and attempt to construct belief states that capture regularities
and each of them comprises a certain ""spatiotemporal form"" recognized
it can use feedback from DeSTIN’s action and critic networks to further
a new European project coordinated by Gianluca Baldassarre and conducted
handling more advanced aspects like language and reasoning
learning and reasoning are carried out by algorithms that seem unlikely to
and the same three cross-connected hierarchies as DeSTIN
encapsulated in black boxes and communicating results with each other.”
and globalist versus localist knowledge representation.