Re: The dualism between Mind and Matter in relation to Artificial

Subject: Re: The dualism between Mind and Matter in relation to Artificial
From: Pramit Sarma (
Date: Tue Apr 18 2000 - 20:49:41 MET DST

One of the greatest system differences between the
Mind-and-Body/Matter (MBM) on one side; and with Algorithm and
Implementation-Hardware/AI-Matter (AIHAIM) is this (Matter := Hardware):

The Bio-Matter (BM) is itself intelligent. The AI-Matter (AM) is not.
Further, there exists an additional parallel processor-set of the
Autonomous Nervous System (ANS) which is near-independent of the
Mind-Brain (MB) and its distributed system, the Central Nervous System
(CNS). The MB/CNS + ANS act on the BM. Over and above, the MB/CNS and
themselves are interlinked, often in ways that modern medical science is
still somewhat murky about. Therefore right at the outset there exists a
defined hierarchy of intelligence.

Here, the MB > CNS > ANS > BM, although in a possibly fuzzy overlap.
These hierarchical levels of interfaces are also unique to the MBM;
and along with the unusually high "BM-IQ" contributes greatly to the
performance including areas where AM are distinctly lacking as of now:
eg. multiple levels of re-configurability in the MBM = {MB,CNS,ANS,BM}

This has many implications:

(1) There is massively parallel but low-level computing in the BM. It
significantly reduces the computational/algorithmic load on the
MB. This is augmented and complemented by the ANS. This intelligence
hierarchy makes the MB task implementations far more robust. The MB then
can function in a supervisory rather than direct implementatory mode.

(1A) Current levels of AIHAIM only begin to literally scratch the
surface, although they clearly move in the general direction.
It is noteworthy that the AI software/algorithms (AISA) have been
developing quite fast: Neural Nets (NN), Fuzzy Sets/Logic (FSL),
Evolutionary Algorithms (EA), and Intelligent Agents (IA), inter alia.
At the same time, "dumb" hardware has also been developing quite
fast. By this, one means chip/board/processor speeds and ancillary
technologies. By the above comparisons, this per se is insufficient to
actualise technologies that allow AIHAIM to begin approaching those
extant in the MBM system.

(1B) It is reasonably clear that further "firmware-like" research is
necessitated to greatly boost the technology of truly smart materials,
that can interface with some equivalent of BM-IQ, say AM-IQ. The need to
boosted levels of AM-IQ for AIHAIM is clearly required. In fact, it is
almost definitely part of the essential synergy to provide the
energy" to push the technology over the tangible "techno-energy
potential hill"
currently standing. Currently published "smart materials" simply do not
seem to have the requisite AM-IQ, alone or even in concert.

(2) A key feature of the MBM robustness lies in the finite processing
power of the the BM with strong support structures from the ANS.

(2A) The ANS produces an additional intelligent but autonomous layer
between the MB and the BM, which causes another large level of MBM
processing power reduction. It is certainly a rather large reduction.
It is similar to the robust control of a complex technological plant,
but with distributed processors that only require at most occasional
external supervision. It has its own level of ANS-IQ, to admit
re-configuration, adaptation, and as a communication buffer.

(2B) The supervisory control systems of large/complex technological
installations today form only a thin approximation of this ANS-type
autonomy. Virtually all the current architectures are heavily biased
towards centralised M-IQ: the major fraction in the
central/quasi-decentralised computers; a small fraction in the local
processors (if they exist), and a very small fraction in the smart
(which often may not exist).

(3) Tremendous sensor/actuator redundancy (compared to the regular
AIHAIM construction) exists.

(3A) For example, a robot should be fully capable of completing a
task perfectly even with a fairly large number of malfunctions. Current
hard, even smart sensor, technology cannot sustain such enormous levels
of redundancy.

These points indicate the need for a strong shift in intelligent
technology. This is particularly in the areas of combined or "intensely
integrated intelligent systems" (IIIS).



========================================================================== Pramit 'Jake' Sarma

E-mail: [Res] [Lab] W-mail:

Processes + Control, Intelligent & Simulation Systems | P R O C I S S | {Systems + Mathematics}---{Real World Processes} ==========================================================================

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