Result of Applying Noisy Harmonic Grammar to OTSoftInputFile.txt

2-21-2017, 8:06 p.m.

OTSoft 2.5, release date 1/17/2017

1. Weights Found

20.000       ConstantConstraint
2.000        VariableConstraint

2. Matchup to Input Frequencies


   /Input1/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.001   0.000                      
   Cand2     0.999   1.000                100000

   /Input2/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     0.000   1.000                100000

   /Input3/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     0.000   1.000                100000

   /Input4/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     0.000   1.000                100000

   /Input5/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.002                   201
   Cand2     0.000   0.998                 99799

   /Input6/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.025                  2495
   Cand2     0.000   0.975                 97505

   /Input7/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.096                  9560
   Cand2     0.000   0.904                 90440

   /Input8/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.199                 19930
   Cand2     0.000   0.801                 80070

   /Input9/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.311                 31068
   Cand2     0.000   0.689                 68932

   /Input10/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.412                 41192
   Cand2     0.000   0.588                 58808

   /Input11/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.501                 50098
   Cand2     0.000   0.499                 49902

   /Input12/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.571                 57132
   Cand2     0.000   0.429                 42868

   /Input13/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.632                 63206
   Cand2     0.000   0.368                 36794

   /Input14/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.677                 67743
   Cand2     0.000   0.323                 32257

   /Input15/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.716                 71594
   Cand2     0.000   0.284                 28406

   /Input16/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.749                 74904
   Cand2     0.000   0.251                 25096

   /Input17/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.773                 77306
   Cand2     0.000   0.227                 22694

   /Input18/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.795                 79473
   Cand2     0.000   0.205                 20527

   /Input19/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.815                 81496
   Cand2     0.000   0.185                 18504

   /input20/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.999   0.828                 82767
   Cand2     0.001   0.172                 17233

4. Testing the Grammar:  Details

The grammar was tested for 100000 cycles.

Average error per candidate:  32.369 percent

Learning time:  0.000 minutes



5. Parameter Values Used


   Noise was set at 1.

   Negative weights were not permitted.
   The number of times that a negative weight was reverted during learning and testing was 43108 out of 3900000 chances.

   The number of ties between winner and rival was 4 out of 4000000 chances.  Tie is within 0.00001.

   Noise was applied to individual tableau cells.

   Noise was applied before weights multiplied by violations.

   Initial Weights (final weights shown in parentheses)

20.000       20.000   20.000(20.000)   ConstantConstraint
2.000        2.000   2.000 (2.000)   VariableConstraint

   Schedule for GLA Parameters

      Stage   Trials   PlastMark  PlastFaith 
     1        0          0.100      0.100      
     2        0          0.022      0.022      
     3        0          0.005      0.005      
     4        0          0.001      0.001      

      There were a total of 0 learning trials.
