It's primitive; it's dumb; it's brittle--but it's AI.

[Lee Kent]

Dr. LeFever's comments are the basic intellect AI ignores.
I base all such systems on their definition of intelligence. If they 
attempt to make intelligence without defining it first, then they are 
nothing more than actions, and the programs are nothing more than 
lists of organized rules for reactions. Worthless. Regardless of how well an AI 
program does a task also performed by the brain, unless it does it as 
the brain does it, it is not intelligent let alone artificially 
intelligent. Intelligence is the level to which an entity is 
pro-active beyond the constraints and lessons learned that otherwise 
would result in nothing but reaction. There is no AI program that 
extends past reaction. CORE is pro-action. And true intelligence. Yet 
it is ignored by AI as it is based on real intelligence, something AI 
would not recognize if it was mandatory for survival.

Lee

On  5 Jul 99 at 19:13, Ron Blue wrote:

> > Seems to me I saw somebody's comment to the effect that AI systems
> > do not HAVE to mimic natural systems and can stand on their own;
> > but unless more novel/elegant/interesting as pure creations than
> > these simplistic diagrams seem to imply, I see no point in
> > pursuing such schemes even as a hobby or game...
> >
> > F. Frank LeFever, Ph.D.
> > New York Neuropsychology Group
> >>>>>
> I would agree that AI systems do not have to mimic natural systems. 
>  But a reduction to practice by using the natural components in
> conscious biological systems in an AI environment has advantages.
> 
> For example,  transistors can be used as self organizing maps
> forming harmonic string memory in a linear trap of 45 years by using
> a Paul trap frequency of 28 hertz.   Classical confirmation of
> information is required for harmonic self organizing memory maps
> stored in oppositional reciprocal eigenfunctions.   Because
> transistors are quantum devices information can be self organized
> instantaneously as long as the organization is confirmed
> classically.    Memory is local occurring as a perceptron or
> oscillon and global stored in the linear trap of 45 years.  Memory
> is limited to 3.24 trillion qubits per transistor.  Since the memory
> is additive the global memory system is limited to the total number
> of self organizing maps that can be formed in harmonic memory for
> all the transistors in the system. Such a system is likely to be
> superior to humans.
> 
> This models the correlational opponent processing or associational
> reciprocal inhibition in biological systems.   Biological systems
> have oppositional wavelet information working at a Paul trap
> frequency of 40 hertz.    Biological systems use a linear time trap
> of the life of the individual.
> 
> Ron Blue
> http://www.neutronicstechcorp.com
> 
> 
> 
> 
> 
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