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A randomized system of an ANIMAT
is used to test the theory. For each experiment 55 actions (RUNS), repeated 25 times.
ANIMAT0 has 2.31 : 25.96, this is 1 : 11.24, saying that ANIMAT1 finds 11.24 times more often food than ANIMAT0
-3->ANIMAT(1)=1, ANIMAT(2)=1,CLASSIFIERS=[],MODE=0,YYMAX=0,XXMAX=0,S=-1,DISTANCE=2,RUNS=55,HISTORY=[],SHOW=0, N=25,[FOODHITS,MEAN, STD]=experiment(ANIMAT,CLASSIFIERS,MODE,YYMAX, XXMAX, S,W02,DISTANCE, RUNS,HISTORY,SHOW,N)
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 36.000000
REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 14.000000
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 20.000000
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 20.000000
REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 12.000000
REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 22.500000
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 4.000000
REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan
REWSUM/1000 = 7.000000
, TIMES FOOD = 7.000000, MEAN LENGHT = 7.857143
REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 15.000000
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 35.000000
REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 23.000000
REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 10.800000
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 40.000000
REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 15.333333
REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 17.666667
REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 9.500000
REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 8.833333
REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 3.000000
REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 8.000000
REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 12.666667
REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 9.333333
REWSUM/1000 = 7.000000
, TIMES FOOD = 7.000000, MEAN LENGHT = 5.857143
REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 17.666667
STD =
1.9815819
MEAN =
2.48
FOODHITS =
1.
2.
1.
1.
2.
2.
1.
0.
7.
2.
1.
0.
1.
5.
1.
3.
3.
4.
6.
2.
1.
3.
3.
7.
3.
STD =
1.95789
MEAN =
2.4
FOODHITS =
1.
2.
3.
1.
4.
2.
2.
0.
4.
4.
1.
2.
3.
1.
1.
1.
0.
7.
1.
3.
2.
1.
8.
4.
2.
STD =
1.7435596
MEAN =
2.04
FOODHITS =
3.
4.
0.
2.
0.
1.
0.
2.
0.
4.
1.
3.
5.
4.
4.
1.
4.
2.
2.
5.
3.
0.
1.
0.
0.
STD =
1.9899749
MEAN =
2.72
FOODHITS =
1.
3.
2.
4.
0.
7.
6.
7.
3.
2.
2.
2.
1.
2.
5.
1.
1.
2.
3.
2.
5.
0.
1.
2.
4.
The same environment with ANIMAT1
-->YS=1, XS=1,ENERGYS=10, RUNS=55,SHOW=0,N=25,[FOODHITS,MEAN, STD]=experiment1(ANIMAT,YS, XS,ENERGYS, GRID, RUNS,HISTORY,SHOW,N)
STD =
5.3547487
MEAN =
25.56
FOODHITS =
27.
27.
27.
26.
26.
26.
27.
26.
27.
27.
27.
27.
27.
27.
27.
27.
27.
0.
27.
26.
27.
26.
25.
27.
26.
STD =
5.3547487
MEAN =
25.56
FOODHITS =
27.
27.
27.
26.
26.
26.
27.
26.
27.
27.
27.
27.
27.
27.
27.
27.
27.
0.
27.
26.
27.
26.
25.
27.
26.
STD =
0.5228129
MEAN =
26.76
FOODHITS =
27.
27.
27.
27.
27.
27.
27.
27.
27.
26.
26.
27.
27.
26.
27.
25.
27.
26.
27.
27.
27.
27.
27.
27.
27.