Empirical Model ANIMAT0 and ANIMAT1

ANIMAT0 : ANIMAT1 is 3.92 : 34.92 is 1 : 8.9

-->GD3O2F12
 GD3O2F12  =
 
!.  .  .  !
!         !
!.  O  O  !
!         !
!.  F  .  !
 
-->ANIMAT(1)=1, ANIMAT(2)=1,CLASSIFIERS=[],MODE=0,YYMAX=0,XXMAX=0,S=2,DISTANCE=3,RUNS=60,HISTORY=[],SHOW=0, N=25,[FOODHITS,MEAN, STD]=experiment(ANIMAT,CLASSIFIERS,MODE,YYMAX, XXMAX, S,GD3O2F12,DISTANCE, RUNS,HISTORY,SHOW,N)

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 29.500000

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 20.000000

REWSUM/1000 = 7.000000
, TIMES FOOD = 7.000000, MEAN LENGHT = 6.857143

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 18.333333

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 10.250000

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 18.666667

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 13.250000

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 9.500000

REWSUM/1000 = 7.000000
, TIMES FOOD = 7.000000, MEAN LENGHT = 7.571429

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 12.000000

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 11.200000

REWSUM/1000 = 9.000000
, TIMES FOOD = 9.000000, MEAN LENGHT = 6.555556

REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 15.000000

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 9.200000

REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 16.666667

REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan

REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan

REWSUM/1000 = -0.000000
, TIMES FOOD = 0.000000, MEAN LENGHT = Nan

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 7.500000

REWSUM/1000 = 9.000000
, TIMES FOOD = 9.000000, MEAN LENGHT = 6.000000

REWSUM/1000 = 7.000000
, TIMES FOOD = 7.000000, MEAN LENGHT = 5.714286

REWSUM/1000 = 9.000000
, TIMES FOOD = 9.000000, MEAN LENGHT = 6.666667

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 2.000000

 STD  =
 
    3.0402851  
 MEAN  =
 
    3.92  
 FOODHITS  =
 
    2.  
    1.  
    7.  
    3.  
    4.  
    3.  
    4.  
    6.  
    7.  
    5.  
    5.  
    9.  
    0.  
    2.  
    5.  
    0.  
    3.  
    0.  
    0.  
    0.  
    6.  
    9.  
    7.  
    9.  
    1.

The performance of ANIMAT1 within the same environment

-->ANIMAT(1)=1, ANIMAT(2)=1,YYMAX=1, XXMAX=1, S=-2,GRID=GD3O2F12,DISTANCE=1, ENERGY=20, SHOW=1,[ANIMAT,GRID]=liveR1prep(ANIMAT,YYMAX, XXMAX, S,GRID,DISTANCE,CLASSIF, ENERGY, SHOW)

-->YS=1, XS=1,ENERGYS=20,  RUNS=60,SHOW=0,N=25,[FOODHITS,MEAN, STD]=experiment1(ANIMAT,YS, XS,ENERGYS, GRID, RUNS,HISTORY,SHOW,N)


 
 STD  =
 
    7.828793  
 MEAN  =
 
    32.04  
 FOODHITS  =
 
    30.  
    30.  
    30.  
    30.  
    30.  
    30.  
    28.  
    58.  
    30.  
    30.  
    30.  
    30.  
    29.  
    30.  
    30.  
    30.  
    30.  
    30.  
    30.  
    29.  
    30.  
    30.  
    29.  
    30.  
    58.  

 STD  =
 
    11.582026  
 MEAN  =
 
    35.32  
 FOODHITS  =
 
    30.  
    29.  
    30.  
    58.  
    30.  
    30.  
    29.  
    29.  
    58.  
    58.  
    30.  
    29.  
    30.  
    30.  
    58.  
    29.  
    30.  
    29.  
    29.  
    30.  
    30.  
    30.  
    58.  
    30.  
    30.  

 STD  =
 
    12.945398  
 MEAN  =
 
    37.4  
 FOODHITS  =
 
    29.  
    58.  
    30.  
    29.  
    30.  
    30.  
    58.  
    30.  
    30.  
    30.  
    28.  
    30.  
    30.  
    58.  
    30.  
    29.  
    29.  
    58.  
    58.  
    29.  
    30.  
    29.  
    56.  
    58.  
    29.



Gerd Doeben-Henisch 2012-03-31