Jon L. Campbell Sep 10 1992, 5:47 am
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Jon L. Campbell <K...@ASUACAD.BITNET> -
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Thursday, 10 Sep 1992 10:37:30 MSTLocal:
Thurs,Sep 10 1992 12:37 pm Subject:
What is really AI?[size=-1]
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For the sake of argument, I'd like to propose a discussion about
AI. Exploring what AI is or isn't and the boundaries of logic.
From what I have gathered in the past few years, AI is or isn't
software and/or hardware or a combination of the two. Lisp, expert
systems, fuzzy logic, etc. are all professed to be, in one form or
another, AI. True? Maybe, but then again maybe taken as a whole
they would constitute a portion of the qualities that make AI.
The brain is a component of AI, insomuch that it is a dependent
peice of hardware that requires a certain amount of input before a
decision can be made -- be it the right decision or not is not
important. The brain is or isn't a fully functional AI component
without all of the other functions that it needs to process the
input. There are numerous inputs that influence the basic
decision process at the most elementary AI model of human behaviour.
These inputs are processed at a level that requires the least amount
of synaps connectivity. Computational logic also has a set of inputs,
yet solving mathematical problems does not use the same set of rules
that were used to process common bodily functions (i.e. breathing)
The set of rules required to breath are imbedded, basic rules
that the brain always follows or we would forget to breath. These
rules are hardware dependent rather than learned and are therefore
at the core of functional AI. Learned rules are different in that
they expand on the core layer of the brain or basic instructional set.
Which are stored ~ memory ~ recall ~ expanded ~ learned ~ stored ~~.
_ + _ - | _
| | | Variations |
|________|_________|__________| | |
|_____________|_____________|_____|
Software Hardware
* note: Hypothetical __ __
|________________|
|
AI
What is the division of s/h = l (logical decision) where the expanded
and learned inputs are deviants from the normal or expected. How much
software is needed to construct a truly intelligent unit? Is AI really
software dependent? Or can the hardware be independent of software to
acheive AI?
Input(s) or rather stimuli to the various regions of the brain interact
to produce results. These results can be avoidance, preception, interest,
motion, etc. Varying the inputs, such that an individual is required to
solve a simple math problem standing in the middle of rush hour traffic,
and you increase the degree of difficulty. The normal model inputs that
allow the individual to breath are interrupted -- causual effects of the
disruption. Which would suggest that software (i.e. external program
instruction sets) interfers with hardware, eh? External influences are
considered software in my model.
Can other software or software in general eliminate or solve the
problem? How learned can software become? Can traffic influence the
hardware? What are the relationships? Or is there a relationship?
Hardware Logic (AI)
r1,r2,r3,r4,r5,
s1,
s2, t5 = r3,s2 nor gate linear?
s3,
s4, r = 5kv maybe not,
s5, s = 3kv
transversed logic,
maybe.
A point that intersects is t. Two points that intersect are tn.
Multiple intersections are t^n. What are we alluding to is a possible
non-linear approach to gated logic. Stacked logic? Maybe? But what
are the input sources? From s,r or s,s or r,s or rr, or ? Cubed logic?
Maybe. But is the logic software dependent? Is software necessary?
Would hardware AI lack software as a counterpart?
1kv,2kv,3kv,4kv,5kv
~ ~ ~ ~ ~
r1,r2,r3,r4,r5,
3kv ~ s1,t4,t5,t6,t7,t8,
2kv ~ s2,t3,t4,t5,t6,t7,
1kv ~ s3,t2,t3,t4,t5,t6,
5kv ~ s4,t6,t7,t8,t9,t0,
4kv ~ s5,t5,t5,t6,t7,t8,
s1+r1,,s3+r4 = simutanious inputs,,varying logic?
So, a basic gate array can be established with single inputs and multiple
gated arrays??
I wanted to start a dialogue and finish in the coming ???
Jon