Result of Applying Noisy Harmonic Grammar to OTSoftInputFile.txt

1-29-2017, 1:09 p.m.

OTSoft 2.5, release date 1/17/2017

1. Weights Found

10.000       ConstantConstraint
1.000        VariableConstraint

2. Matchup to Input Frequencies


   /Input1/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.001   0.000                      
   Cand2     0.999   1.000                500000

   /Input2/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                     2
   Cand2     0.000   1.000                499998

   /Input3/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                    18
   Cand2     0.000   1.000                499982

   /Input4/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                   100
   Cand2     0.000   1.000                499900

   /Input5/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.001                   690
   Cand2     0.000   0.999                499310

   /Input6/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.006                  3106
   Cand2     0.000   0.994                496894

   /Input7/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.023                 11330
   Cand2     0.000   0.977                488670

   /Input8/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.067                 33465
   Cand2     0.000   0.933                466535

   /Input9/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.159                 79430
   Cand2     0.000   0.841                420570

   /Input10/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.310                154834
   Cand2     0.000   0.690                345166

   /Input11/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.499                249621
   Cand2     0.000   0.501                250379

   /Input12/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.691                345369
   Cand2     0.000   0.309                154631

   /Input13/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.841                420494
   Cand2     0.000   0.159                 79506

   /Input14/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.933                466660
   Cand2     0.000   0.067                 33340

   /Input15/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.977                488473
   Cand2     0.000   0.023                 11527

   /Input16/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.994                496941
   Cand2     0.000   0.006                  3059

   /Input17/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.999                499320
   Cand2     0.000   0.001                   680

   /Input18/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   1.000                499894
   Cand2     0.000   0.000                   106

   /Input19/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   1.000                499988
   Cand2     0.000   0.000                    12

   /input20/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.999   1.000                499999
   Cand2     0.001   0.000                     1

4. Testing the Grammar:  Details

The grammar was tested for 500000 cycles.

Average error per candidate:  39.352 percent

Learning time:  0.000 minutes



5. Parameter Values Used


   Noise was set at 1.

   Negative weights were permitted.
   The number of times that a negative weight was recorded during learning and testing was 10342195 out of 40000000 chances.

   The number of ties between winner and rival was 5 out of 20000000 chances.  Tie is within 0.00001.

   Noise was applied to individual tableau cells.

   Noise was applied after weights multiplied by violations.

   Initial Weights (final weights shown in parentheses)

10.000       10.000   10.000(10.000)   ConstantConstraint
1.000        1.000   1.000 (1.000)   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.
