The
concept
that
we
learn
by
interacting
with
environment
is
a
foundational
idea
underlying
the
theories
of
learning
and
intelligence
.
In
machine
learning
beside
the
methods
of
supervised
or
unsupervised
learning
we
can
find
the
approach
of
reinforcement
learning
which
is
based
on
the
agent
-
environment
dichotomy
. <
br
>
The
starting
point
of
our
experiments
will
be
the
fusion
of
mind
-
body
theories
with
machine
learning
and
transposition
of
such
ideas
into
the
realm
of
cybernetic
ecosystems
.
We
'
re
planning
to
create
artificial
agent
which
by
interacting
with
real
world
environment
will
arise
from
initial
state
of
protoplasmic
randomness
into
the
sculpted
awareness
of
the
complexity
of
the
ecosystem
in
which
the
agent
exists
.
Through
the
limitation
of
its
own
artificial
body
and
sensory
system
the
agent
can
explore
the
environment
only
on
the
phenomenological
level
.
But
is
the
machine
(
algorithm
)
aware
of
it
'
s
own
existence
in
the
certain
environment
?
Or
is
it
aware
of
it
'
s
own
consciousness
?
We
try
to
answer
the
later
questions
with
the
usage
of
Python
code
. <
br
> <
br
>
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