15
Learning
is a
technique to broaden an entity’s knowledge, which also signifies
its
intelligence
growth.
Moreover,
in
general,
the
indication
of
whether
or
not
an
entity
has
become
more
intelligent
is
the
capability to
solve
more
complex
problems. However,
in
the
game
AI
system,
it
also
considers
that
an
intellectual
entity
also
reflects
on
its
high
level
of
adaptation. For
instance,
there
are
two
animats, A and
B,
in
a
baseball competition. Assume
that
animat A
is
pitcher and
animat
B
is
the
batter,
and
also
B
is
installed
with
learning component.
The
goal
of
A
is to strike B out that
is to throw a difficult
ball’s orientation
so
that B
will
fail to hit it, while B’s
goal is to hit the ball as
far as it could. For each A’s throw,
B
will
attempt
to
hit and
also
study
the pattern.
After 5
balls
throw,
B
discovers
that there
is 2 success hit (40%), 3
failure hit (60%), and with pattern curve ball,
straight
ball,
straight
ball,
curve
ball
and
straight
ball.
Therefore,
it
predicts
that
the
next
throw
will
be
straight
ball.
Of
course,
this
prediction can
be
wrong,
but
with
the
increase
of
data,
B
will
have
higher
accuracy
of
prediction
and
hence
increases the success ball-hit rate.
2.1.1.2. Machine Intelligence and Set of Technologies
The
most
general
utilization
of
Artificial
Intelligence
is
as
technologies that
are
designed
specifically to
solve
particular
problems
which
provide
the
essence
of
intelligence to
machine.
A
good
example of
this
would
be
the A.I.
that
is
found
on
chess
game
found
on
most PC
or
laptops. Usually,
the player
is
granted with some
flexibility in
terms of
how the
game should proceed, such as deciding on the
use of
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