Re: Symbolic AI: Why Marvin Minsky and Curt Welch Are Out to Lunch


Traveler wrote:
On 21 Jul 2006 16:32:51 -0700, "JGCASEY" <jgkjcasey@xxxxxxxxxxxx>
wrote:


Traveler wrote:

Intelligence is discrete signal processing. It is
based entirely on the temporal relationships between
unnamed (non-symbolic) signals. The origin (sensors)
and destination (effectors) of the signals are
irrelevant. The only exceptions I can think of are
appetitive and aversive sensory stimuli which are
needed for adaptative behavior. And even these are
non-symbolic.


So is intelligence a kind of discrete signal processing
or is discrete signal processing intelligence full stop?

Well, any time you have any type of automatic decision making taking
place, you can call it intelligence. However, the intelligence we've
been discussing on this forum is the kind we find in more evolved
animals and in humans. It is defined by psychologists. So I will
answer yes to the first question and no to the second.

So in what way is intelligent signal processing different from
other kinds of signal processing apart from what we can
observe at the macro level?


If the former than we can drop the word "intelligence"
and replace it with "discrete signal processing" and if
the latter we have to define what kind of signal
processing intelligence is.

There are, in fact, several types of discrete signal processing going
on in the brain. Each performs an essential function and complements
each other. Note that signal processing also involves the generation
of signals.

How can we use those broad statements to implement some kind
of intelligent machine? That is, how can we convert those views into
software or hardware that demonstrates what you mean exactly?



Louis Savain

.

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