Empirical Model ANIMAT0 and ANIMAT1

ANIMAT0 : ANIMAT1 is proportionally 2.76 : 19:36 or 1 : 7

-3->GD3O2F13
 GD3O2F13  =
 
!.  .  .  !
!         !
!.  O  .  !
!         !
!.  F  .  !
 
-3->ANIMAT(1)=1, ANIMAT(2)=1,CLASSIFIERS=[],MODE=0,YYMAX=0,XXMAX=0,S=2,DISTANCE=3,RUNS=40,HISTORY=[],SHOW=0, N=25,[FOODHITS,MEAN, STD]=experiment(ANIMAT,CLASSIFIERS,MODE,YYMAX, XXMAX, S,GD3O2F13,DISTANCE, RUNS,HISTORY,SHOW,N)

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 7.000000

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 2.500000

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

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 12.333333

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 4.500000

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 7.800000

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 8.000000

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 3.500000

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 5.666667

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 6.750000

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

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 19.500000

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 7.000000

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

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 7.000000

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 28.000000

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 16.000000

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

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 34.000000

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 14.000000

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 3.666667

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 7.750000

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

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 6.666667

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 13.333333

 STD  =
 
    2.0264912  
 MEAN  =
 
    2.76  
 FOODHITS  =
 
    5.  
    2.  
    0.  
    3.  
    4.  
    5.  
    5.  
    2.  
    6.  
    4.  
    1.  
    2.  
    2.  
    0.  
    4.  
    1.  
    2.  
    0.  
    1.  
    1.  
    6.  
    4.  
    0.  
    6.  
    3.

The same environment for the ANIMAT1 gives the following results:

-->ANIMAT(1)=1, ANIMAT(2)=1,YYMAX=1, XXMAX=1, S=-2,GRID=GD3O2F13,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=40,SHOW=0,N=25,[FOODHITS,MEAN, STD]=experiment1(ANIMAT,YS, XS,ENERGYS, GRID, RUNS,HISTORY,SHOW,N)
 YS  =
 
    1.  
 XS  =
 
    1.  
 ENERGYS  =
 
    20.  
 RUNS  =
 
    40.  
 SHOW  =
 
    0.  
 N  =
 
    25.  
 STD  =
 
    0.5066228  
 MEAN  =
 
    19.44  
 FOODHITS  =
 
    19.  
    20.  
    19.  
    20.  
    20.  
    20.  
    20.  
    19.  
    19.  
    19.  
    19.  
    19.  
    19.  
    19.  
    19.  
    19.  
    20.  
    19.  
    20.  
    19.  
    20.  
    20.  
    20.  
    19.  
    20.  
 
 MEAN  =
 
    19.16  
 FOODHITS  =
 
    20.  
    18.  
    20.  
    18.  
    19.  
    19.  
    20.  
    18.  
    20.  
    20.  
    19.  
    20.  
    19.  
    18.  
    19.  
    20.  
    19.  
    19.  
    20.  
    19.  
    20.  
    19.  
    18.  
    20.  
    18.  

 STD  =
 
    0.7141428  
 MEAN  =
 
    19.48  
 FOODHITS  =
 
    20.  
    19.  
    19.  
    19.  
    20.  
    20.  
    19.  
    20.  
    20.  
    19.  
    20.  
    20.  
    19.  
    20.  
    20.  
    19.  
    20.  
    20.  
    20.  
    20.  
    19.  
    19.  
    19.  
    20.  
    17.