Empirical Model ANIMAT0 and ANIMAT1

A randomized system of an ANIMAT$ ^{0}$ is used to test the theory. For each experiment 25 actions (RUNS), repeated 25 times. A test with ANIMAT1 is not necessary because ANIMAT1 will find the food immediately. Thus for case D=1 we have a proportion of 2.97 : 25 this is 1 : 8.4, saying that ANIMAT1 hits 8.4 times more often food than ANIMAT0.

-->DISTANCE=1,[G1]=testgrid(DISTANCE)
 DISTANCE  =
 
    1.  
 G1  =
 
!.  .  .  !
!         !
!.  F  .  !
!         !
!.  .  .  !
 
-->ANIMAT(1)=1, ANIMAT(2)=1,CLASSIFIERS=[],MODE=0,YYMAX=0,XXMAX=0,S=-1,DISTANCE=1,RUNS=25,HISTORY=[],SHOW=0, N=25,[FOODHITS,MEAN, STD]=experiment(ANIMAT,CLASSIFIERS,MODE,YYMAX, XXMAX, S,G1,DISTANCE, RUNS,HISTORY,SHOW,N)

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 7.000000

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

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 3.833333

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 8.333333

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 13.000000

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 1.666667

REWSUM/1000 = 6.000000
, TIMES FOOD = 6.000000, MEAN LENGHT = 3.833333

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 4.750000

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 23.000000

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 5.666667

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 6.500000

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 4.500000

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 8.333333

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 6.333333

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 8.000000

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 4.600000

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

REWSUM/1000 = 2.000000
, TIMES FOOD = 2.000000, MEAN LENGHT = 9.000000

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 25.000000

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

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 4.750000

REWSUM/1000 = 3.000000
, TIMES FOOD = 3.000000, MEAN LENGHT = 5.000000

REWSUM/1000 = 1.000000
, TIMES FOOD = 1.000000, MEAN LENGHT = 13.000000

REWSUM/1000 = 4.000000
, TIMES FOOD = 4.000000, MEAN LENGHT = 6.000000

REWSUM/1000 = 5.000000
, TIMES FOOD = 5.000000, MEAN LENGHT = 4.000000

 STD  =
 
    1.5545632  
 MEAN  =
 
    3.2  
 FOODHITS  =
 
    3.  
    6.  
    6.  
    3.  
    1.  
    3.  
    6.  
    4.  
    1.  
    3.  
    2.  
    2.  
    3.  
    3.  
    3.  
    5.  
    4.  
    2.  
    1.  
    2.  
    4.  
    3.  
    1.  
    4.  
    5.  
 

 STD  =
 
    1.8929694  
 MEAN  =
 
    2.6  
 FOODHITS  =
 
    3.  
    1.  
    2.  
    2.  
    4.  
    5.  
    3.  
    4.  
    3.  
    3.  
    0.  
    3.  
    2.  
    2.  
    3.  
    0.  
    1.  
    0.  
    2.  
    3.  
    0.  
    2.  
    3.  
    8.  
    6.  
 

 STD  =
 
    1.8912077  
 MEAN  =
 
    3.08  
 FOODHITS  =
 
    2.  
    3.  
    2.  
    2.  
    3.  
    3.  
    1.  
    4.  
    6.  
    2.  
    8.  
    3.  
    2.  
    1.  
    2.  
    0.  
    2.  
    2.  
    5.  
    6.  
    6.  
    2.  
    4.  
    2.  
    4.  
 

 STD  =
 
    1.5275252  
 MEAN  =
 
    3.  
 FOODHITS  =
 
    1.  
    3.  
    1.  
    2.  
    3.  
    1.  
    5.  
    1.  
    4.  
    5.  
    3.  
    3.  
    2.  
    4.  
    2.  
    3.  
    1.  
    4.  
    5.  
    4.  
    6.  
    1.  
    5.  
    3.  
    3.  
 

 STD  =
 
    1.5885003  
 MEAN  =
 
    2.24  
 FOODHITS  =
 
    3.  
    0.  
    1.  
    3.  
    2.  
    3.  
    2.  
    2.  
    1.  
    1.  
    1.  
    1.  
    4.  
    2.  
    7.  
    0.  
    5.  
    2.  
    1.  
    2.  
    3.  
    4.  
    1.  
    2.  
    3.



Gerd Doeben-Henisch 2012-03-31