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 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
manipulation.
Philosophers have grappled with the question of the
source of knowledge for as long as there have been philosophers, and one of the
best accepted answers in modern philosophy is sensory experience. Sensory
experience, including proprioception and awareness of motor outputs, in addition
to the ordinary five senses, is the material that knowledge is built out
of. The brain constructs its logical formulations out of the basic
building blocks of the sights, sounds, and feels of linguistic symbols.
The symbols themselves (letters of an alphabet, words in a language, etc.)
are built up out of lower-level sensory patterns.
In evolution on earth, sensory-motor-based
intelligence came first, and the use of language and logic only
later. It seems to me that the right path to true AI will also use
sensory-motor patterns as the basic building blocks of knowledge
representation. A typical human being's knowledge of the letter "A"
involves recognition of graphical representations of the
symbol, memories of its sound when spoken, procedural or muscle memory of
how to speak and write it, and memories of where it is commonly
found in its linguistic context. A system should be capable of
recognizing symbols visually or auditorially (and possibly
of generating them through motor outputs) before it should be expected
to comprehend them.
Any thoughts or arguments? Or am I just
repeating something everyone already knows? (I honestly don't
know.)
J.P.
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