This
is
the
second
iteration
of
Fall
online
course
where
we
'
ll
try
to
bring
in
physical
space
our
experiments
on
fusion
of
mind
-
body
theories
with
machine
learning
and
transposition
of
such
ideas
into
the
realm
of
cybernetic
ecosystems
.
We
'
re
planning
to
place
an
artificial
agent
in
a
real
sonic
space
environment
and
to
see
how
it
will
arise
from
the
initial
state
of
protoplasmic
randomness
into
the
sculpted
awareness
of
the
complexity
of
the
ecosystem
.
Through
the
limitation
of
its
own
artificial
body
and
sensory
system
the
agent
can
explore
the
environment
only
on
the
phenomenological
level
.
We
'
ll
focus
on
the
reinforcement
learning
method
which
is
based
on
the
agent
-
environment
dichotomy
.
And
we
still
keep
the
question
if
the
machine
(
algorithm
)
is
aware
of
its
own
existence
in
the
certain
environment
?
Or
is
it
aware
of
its
own
"
consciousness
"? 
We
try
to
answer
the
later
questions
with
the
usage
of
Python
code
.