Is anyone interested in discussing the use of
formal logic as the foundation for knowledge representation schemes for
AI? It'sa common approach, but I think it's the wrong path.
Even if you add probability or fuzzy logic, it's still insufficient for true
intelligence.
The human brain, the
I believe there will be a subset of words for logic as the english
language and the definitions can be interpreted in different ways leading
to false determinations.
I am sure the interpretaions of many languages might lead to false
determinations. What being said or what was printed was
John said: The human brain, the only
high-level intelligent system currently known, uses language and logic for
abstract reasoning, but these are based on, and owe their existence to, a more
fundamental level of intelligence -- that of pattern-recognition,
pattern-matching, and pattern
On 5/7/06, John Scanlon [EMAIL PROTECTED] wrote:
Is anyone interested in discussing the use of formal logic as the foundation
for knowledge representation schemes for AI? It's a common approach, but I
think it's the wrong path. Even if you add probability or fuzzy logic, it's
still
On 5/7/06, Gary Miller [EMAIL PROTECTED] wrote:
My
opinion on the most probableroute to a true AI Entity
is:
1. Build
a better fuzzy pattern representation language with an inference mechanism for
extracting inducible information from user inputs. Fuzziness allows
the
language to
On 5/7/06, sanjay padmane [EMAIL PROTECTED] wrote:
On 5/7/06, Pei Wang [EMAIL PROTECTED] wrote:
AI
doesn't necessarily follow the same path as how human intelligence is
produced, even though it is indeed the only path that has been proved
to work so far.
IMO, if a machine achieves true
1. Build a
better fuzzy pattern representation language with an inference mechanism for
extracting inducible information from user inputs.
I'd be interested in
hearing more about your fuzzy pattern representation language (either on-list or
off). Do you have anything written up?
Thanks.
On Sun, May 07, 2006 at 09:29:51AM -0400, Ben Goertzel wrote:
However, this does not imply that in an AI, these things cannot be
done using explicit logic operations.
It's possible to build anything from NAND gates. But in practice,
there are usually other constraints to implementation.
John Scanlon wrote:
Is anyone interested in discussing the use of formal logic as the
foundation for knowledge representation schemes for AI? It's a common
approach, but I think it's the wrong path. Even if you add
probability or fuzzy logic, it's still insufficient for true intelligence.
The case of Helen Keller can certainly shed some
light on the human processes of knowledge acquisition. Without the senses
of vision and hearing, how could she build up an internal model of the world and
her place in it?
I don't remember the exact number, but something
like 70% of the
On May 7, 2006, at 6:37 PM, Gary Miller wrote:
Which is why my research has led to a pattern language that can
compress all of the synonymous thoughts into a single pattern.
The obvious question is how do you deal with the problem of the
synonymity of patterns being context sensitive? In
11 matches
Mail list logo
