Derived GP's vs. Random Player

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VARIATION GENERATIONS # WINS (OUT OF 50) HIGHEST SCORE LOWEST SCORE
1 10 43 53 18
1 20 same as gen 10
1 30 3 45 8
1 40 same as gen 30
1 50 41 56 14
2 10 39 57 0
2 15 37 57 0
2 20 white
2 25 white
2 30 40 56 3
2 35 white
2 40 38 38 0
2 45 30 59 1
2 50 white
4 10 43 47 26
4 20 38 61 18
4 30 43 61 16-not often below 27
4 40 41 49 22
4 50 42 60 12
5 all generation white
6 10 38 54 0
6 15 46 62 16
6 20 same as gen 10
6 25 same as gen 15
6 30 same as gen 15
6 35 same as gen 10
6 40 same as gen 10
6 45 47 60 11
6 50 45 56 14
7 10 35 62 11
7 15 42 43 16
7 20 43 55 16
7 25 38 62 13
7 30 42 62 19
8 10 same as var1, gen 10
8 15 35 36 11
8 20 same as gen 15
8 25 same as gen 15
8 30 39 57 17
8 35 same as gen 15
8 40 same as gen 15
8 45 42 57 18
8 50 42 49 8
9 10 white
9 15 44 53 20
9 20 39 49 10
9 25 same as gen 20
9 30 same as gen 20
9 35 40 60 7
9 40 same as gen 20
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Dave Pisapia -- April 4, 2000-- djp26@coloumbia.edu

Machine Learning, cs4771
Professor Siegel
Columbia University