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[Bug-gnubg] Strange move on 0-ply
From: |
Ian Shaw |
Subject: |
[Bug-gnubg] Strange move on 0-ply |
Date: |
Mon, 20 Jan 2003 16:42:35 -0000 |
0.13 weights Jan 19 2003
GNU Backgammon Position ID: zx4AALjbFgCBAA
Match ID : MAFgACAAEAAA
+-1--2--3--4--5--6-------7--8--9-10-11-12-+ O: GnuBg
| O O O O O O | | | 2 points
| O O O O O | | | On roll
| O O | | |
| | | |
| | | |
| |BAR| |^ 3 point match (Cube: 1)
X | | | |
X | X X | | |
X | X X | | |
X | X X X | | |
X | X O X X | | O | 2 points
+24-23-22-21-20-19------18-17-16-15-14-13-+ X: Ian
GnuBg gave up here, and ran with 23/16, despite knowing it was certain to lose
if it did so, and also give up more gammons.
What gives? Move filters shouldn't have anything to do with it on 0-ply, should
they?
1. Cubeful 0-ply 17/10 Eq.: -0.909
0.045 0.000 0.000 - 0.955 0.130 0.000
0-ply cubeful [expert]
2. Cubeful 0-ply 17/11 2/1 Eq.: -0.918 ( -0.009)
0.041 0.000 0.000 - 0.959 0.148 0.001
0-ply cubeful [expert]
3. Cubeful 0-ply 17/11 6/5 Eq.: -0.928 ( -0.019)
0.036 0.000 0.000 - 0.964 0.144 0.000
0-ply cubeful [expert]
4. Cubeful 0-ply 17/11 5/4 Eq.: -0.935 ( -0.026)
0.032 0.000 0.000 - 0.968 0.152 0.001
0-ply cubeful [expert]
5. Cubeful 0-ply 17/11 4/3 Eq.: -0.937 ( -0.028)
0.031 0.000 0.000 - 0.969 0.152 0.001
0-ply cubeful [expert]
6. Cubeful 0-ply 17/11 3/2 Eq.: -0.948 ( -0.038)
0.026 0.000 0.000 - 0.974 0.156 0.001
0-ply cubeful [expert]
7. Cubeful 0-ply 23/17 5/4 Eq.: -1.000 ( -0.091)
0.000 0.000 0.000 - 1.000 0.200 0.000
0-ply cubeful [expert]
8. Cubeful 0-ply 23/17 4/3 Eq.: -1.000 ( -0.091)
0.000 0.000 0.000 - 1.000 0.207 0.000
0-ply cubeful [expert]
9. Cubeful 0-ply 23/17 3/2 Eq.: -1.000 ( -0.091)
0.000 0.000 0.000 - 1.000 0.202 0.000
0-ply cubeful [expert]
10. Cubeful 0-ply 23/17 6/5 Eq.: -1.000 ( -0.091)
0.000 0.000 0.000 - 1.000 0.204 0.000
0-ply cubeful [expert]
11. Cubeful 0-ply 23/16 Eq.: -1.000 ( -0.091)
0.000 0.000 0.000 - 1.000 0.162 0.000
0-ply cubeful [expert]
Player 0:
Name: GnuBg
Type: gnubg:
Checker play:
Neural net evaluation:
0-ply evaluation.
100% speed.
Cubeless evaluations.
Noiseless evaluations (deterministic noise).
Move filters:
Move filter for 1 ply:
keep the first 8 0-ply moves
Move filter for 2 ply:
keep the first 2 0-ply moves and up to 3 more moves within equity 0.1
keep the first 0 1-ply moves
Move filter for 3 ply:
keep the first 16 0-ply moves
keep the first 4 1-ply moves
keep the first 0 2-ply moves
Move filter for 4 ply:
keep the first 8 0-ply moves
keep the first 0 1-ply moves
keep the first 2 2-ply moves and up to 3 more moves within equity 0.1
keep the first 0 3-ply moves
Cube decisions:
Neural net evaluation:
0-ply evaluation.
100% speed.
Cubeless evaluations.
Noiseless evaluations (deterministic noise).
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Ian Shaw <=