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Al g 1 = (
X 1 ,
f 1 )
f 1 :
X 0 ×
X 1 ×
X 2
X 0 ×
X 1 ×
X 2
(2.42)
f 1 (
0
,
0
,
1
) = (
0
,
1
,
0
),
f 1 (
1
,
1
,
0
) = (
1
,
0
,
0
)
Al g 2 = (
X 2 ,
f 2 )
f 2 :
X 0 ×
X 1 ×
X 2
X 0 ×
X 1 ×
X 2
(2.43)
f 2 (
0
,
0
,
0
) = (
0
,
0
,
1
),
f 2 (
0
,
1
,
0
) = (
1
,
1
,
0
)
The observation function Obs 12 realizing (modelling) the process of recognition of
the behaviour of the algorithm Al g 2 by the algorithm Al g 1 may be denoted as follows:
Obs 12 :
X 0 ×
X 0
X 2
x i 1
0
x i 0 ) =
Obs 12 (
,
x 2
(2.44)
Obs 12 (
0
,
0
) =
1
,
Obs 12 (
0
,
1
) =
0
In effect, the algorithm Al g 1 may be considered as autonomous towards the algo-
rithm Al g 2 due to the observation function Obs 12 , which informally can be denoted
as follows:
Al g 1 = (
X 1 ,
f 1 ,
Obs 12 )
(2.45)
x i 1
0
x i 0 )) = (
f 1 (
x 0 ,
x 1 ,
x 2 ) =
f 1 (
x 0 ,
x 1 ,
Obs 12 (
,
x 0 ,
x 1 ,
x 2 )
It corresponds to taking into consideration stored “historical” global data (data on
the state of the environment) along with the next step of an algorithm, which may be
presented as follows:
Al g 1 = (
X 1 ,
f 1 ,
Obs 12 )
(2.46)
x i 1
0
x i + 1
0
x i + 1
1
x i + 1
2
x i 0 ,
x i 1 ,
x i 2 ) =
x i 0 ,
x i 1 ,
x i 0 )) = (
f 1 (
f 1 (
Obs 12 (
,
,
,
)
In conclusion, in this example we may observe the manner of gaining autonomy
due to the observation operation, which causes the algorithm Al g 1 to be considered
as autonomous towards the algorithm Al g 2 (because of cooperation between the
algorithms through X 0 ).
2.6 Multi-agent System as a Result
of Decomposition of an Algorithm
The problem of decomposition of an algorithm may be considered from many
perspectives.
Asmentioned above, the problemof decomposition of the algorithm Al g = (
)
may be considered as decomposition of the set U and the function F , or may be the
result of the Cartesian product application in which case decomposition of the set X
is used.
U
,
F
 
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