Please
note initially that the precise inner workings of an artificial
intelligence network is secret. Therefore, this article will
go into very vague details.
First
of all, cellular automata can be calculated, that is, they
can produce offspring automata sequences, the order of which
is determined by the order of the parent (original) automata
sequence. This ability allows automata to change rapidly from
one state to another, much as the neurons in the human brains.
With
only minor stimulation, a human neuron can change its electrical
outputs and immediately send a binary signal to another neuron.
This is the same with automata. At the slightest stimulation,
software can calculate certain automata sequences by their
abundance in an environment. For example, if twenty-five 010s
appeared in an array, whereas 101s only appeared twice, the
software would calculate the 010s when stimulation occurred.
There are additional secret levels to this technology, though,
that would allow certain automata sequences to be calculated
seperately, regardless of their abundance in an environment,
and depending solely upon the requirement of their existence
in another environment.
The
intelligent responses from the stimuli would result from the
concentrations of various automata sequences in an environment
at one time. |
