[Fis] Natural intelligence

Karl Javorszky karl.javorszky at gmail.com
Sun Nov 4 15:19:01 CET 2018


Biochemically powered Wittgenstein machines



We see animals and small children to be able to solve tasks that require
intelligence. There exists the phenomenon of natural intelligence. We wish
to compare and delineate the naturally intelligent problem-solving
behaviour of organisms to concepts of evaluating logical facts and arriving
at a result, like computers do.

   1. Similarities

Both systems of registering and evaluating data can build an inner picture
of a 3D space, establish the position of a target, predict the target’s
path, using in the calculation the expected number of time ticks after
launch until hit. Machines do this while hitting enemy drones, frogs do
this while catching flies.

   1. Differences

The machine is electrically powered and possesses one main clock. All the
sub-calculations are in synchronicity with at least their surrounding
sub-units, which then integrate in the whole system using 1 (one) main
tact-giver. The setting of switches (0,1) is in a strict sequence, which is
ruled by forces outside of the switch. In an optimal version of the
process, there is no noise, as there are no changes of switches generated
that were out of synch, erroneously or spontaneously (pixel info turning up
without the screen having been swept, e.g.). Decision is made by the
central unit, on reports from local units, and is issued to other local
units. Which reports of the local – perceiving – systems constitute a
fulfilment of criteria “target” which fulfilment in turn will cause the
release a sequence of decisions, is decided by the human designer of the
system, an outside intelligence.

The frog would show symptoms of epilepsy if its brain was subject to waves
that are over-ubiquitous. In its normal functioning, the brain optimises in
so much of de-synchronising on a global level as is possible under the
needs of synchronising as many areas as are needed to solve a task. The
general level of asynchronicity is what is the overall background of the
processes in the brain of the frog while it targets the fly. What we
advocate here, that it is the *kind of the noise* which carries
information. There are very many kinds of noises, and – in the case of
frogs – they are related to each other. Decision is not made by a central
unit but the decision is the constellation of such causes that are in
themselves a consequence.

We know of such constellations of causes that are a consequence. Chemistry
teaches us that if Material A is concurrently present with Material B,
{heat, fire, bubbles, explosion, creation of Material C, …} will happen. In
some specific cases, the consequence can be an electrical discharge. In an
idealised picture, the effect of the lightning resulting from some
magneto-chemical over-densities would be a reset of the original state,
maybe allowing for a physiological recharge. The frequency, by which
concurrent flooding of cells with 2 different nutrients creates
insufferable conditions (non-continuable process, contradictory
requirements), therefore a breakdown, which then is expressed by an
electric discharge, is a description of the sequence of this cell’s states.
If the discharge frequency agrees with frequencies of other cells, and
pattern established, that pattern again is a constellation of causes that
is a consequence (and the tongue is extended).

The function of these cells cannot be synchronised from above. Any concept
of synchronisation has to evolve from bottom up, at least on the level of
frogs catching flies. It may remain open to debate, which of the ways of
influencing the other constituent of the interaction electric-fluid one
considers more telling: an enlightened Zen monk extinguishing the process
of life within himself by willing himself dead, as is reported in several
writings, or rather the everyday observation that intaking some fluids can
make one alter one’s views on various matters. The main difference between
the constituents of the interaction appears to be linear vs recurrent;
these two aspects have to interact smoothly for the system to be
functionable.
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