<s>
Rule-based	B-Algorithm
machine	I-Algorithm
learning	I-Algorithm
(	O
RBML	O
)	O
is	O
a	O
term	O
in	O
computer	B-General_Concept
science	I-General_Concept
intended	O
to	O
encompass	O
any	O
machine	O
learning	O
method	O
that	O
identifies	O
,	O
learns	O
,	O
or	O
evolves	O
'	O
rules	O
 '	O
to	O
store	O
,	O
manipulate	O
or	O
apply	O
.	O
</s>
<s>
The	O
defining	O
characteristic	O
of	O
a	O
rule-based	B-Language
machine	O
learner	O
is	O
the	O
identification	O
and	O
utilization	O
of	O
a	O
set	O
of	O
relational	O
rules	O
that	O
collectively	O
represent	O
the	O
knowledge	O
captured	O
by	O
the	O
system	O
.	O
</s>
<s>
Rule-based	B-Algorithm
machine	I-Algorithm
learning	I-Algorithm
approaches	O
include	O
learning	B-Algorithm
classifier	I-Algorithm
systems	I-Algorithm
,	O
association	B-Algorithm
rule	I-Algorithm
learning	I-Algorithm
,	O
artificial	B-Algorithm
immune	I-Algorithm
systems	I-Algorithm
,	O
and	O
any	O
other	O
method	O
that	O
relies	O
on	O
a	O
set	O
of	O
rules	O
,	O
each	O
covering	O
contextual	O
knowledge	O
.	O
</s>
<s>
While	O
rule-based	B-Algorithm
machine	I-Algorithm
learning	I-Algorithm
is	O
conceptually	O
a	O
type	O
of	O
rule-based	B-Language
system	O
,	O
it	O
is	O
distinct	O
from	O
traditional	O
rule-based	B-Language
systems	O
,	O
which	O
are	O
often	O
hand-crafted	O
,	O
and	O
other	O
rule-based	B-Language
decision	O
makers	O
.	O
</s>
<s>
This	O
is	O
because	O
rule-based	B-Algorithm
machine	I-Algorithm
learning	I-Algorithm
applies	O
some	O
form	O
of	O
learning	O
algorithm	O
to	O
automatically	O
identify	O
useful	O
rules	O
,	O
rather	O
than	O
a	O
human	O
needing	O
to	O
apply	O
prior	O
domain	O
knowledge	O
to	O
manually	O
construct	O
rules	O
and	O
curate	O
a	O
rule	O
set	O
.	O
</s>
<s>
Therefore	O
rule-based	B-Algorithm
machine	I-Algorithm
learning	I-Algorithm
methods	O
typically	O
comprise	O
a	O
set	O
of	O
rules	O
,	O
or	O
knowledge	O
base	O
,	O
that	O
collectively	O
make	O
up	O
the	O
prediction	O
model	O
.	O
</s>
