Nobody has mentioned this yet.....

<http://www.physorg.com/news146319784.html>

Quotes:

 However, Roy's controversial ideas on how the brain works and learns
probably won't immediately win over many of his colleagues, who have
spent decades teaching robots and artificial intelligence (AI) systems
how to think using the classic connectionist theory of the brain.
Connectionists propose that the brain consists of an interacting
network of neurons and cells, and that it solves problems based on how
these components are connected. In this theory, there are no separate
controllers for higher level brain functions, but all control is local
and distributed fairly equally among all the parts.

In his paper, Roy argues for a controller theory of the brain. In this
view, there are some parts of the brain that control other parts,
making it a hierarchical system. In the controller theory, which fits
with the so-called computational theory, the brain learns lots of
rules and uses them in a top-down processing method to operate.

In his paper, Roy shows that the connectionist theory actually is
controller-based, using a logical argument and neurological evidence.
He explains that some of the simplest connectionist systems use
controllers to execute operations, and, since more complex
connectionist systems are based on simpler ones, these too use
controllers. If Roy's logic correctly describes how the brain
functions, it could help AI researchers overcome some inherent
limitations in connectionist algorithms.

"Connectionism can never create autonomous learning machines, and
that's where its flaw is," Roy told PhysOrg.com. "Connectionism
requires human babysitting of their learning algorithms, and that's
not very brain-like. We don't guide and control the learning inside
our head.
etc....

BillK


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agi
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