File: bayes2a.efg

package info (click to toggle)
gambit 0.2006.01.20-2
  • links: PTS
  • area: main
  • in suites: etch, etch-m68k
  • size: 8,296 kB
  • ctags: 11,027
  • sloc: cpp: 87,515; sh: 8,367; ansic: 720; makefile: 692
file content (130 lines) | stat: -rw-r--r-- 4,301 bytes parent folder | download | duplicates (5)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
EFG 2 R "General Bayesian game, two stages" { "Player 1" "Player 2" }
""

c "" 1 "(0,1)" { "1G" 1/2 "1B" 1/2 } 0
c "" 2 "(0,2)" { "2g" 1/2 "2b" 1/2 } 0
p "" 1 1 "(1,1)" { "H" "L" } 0
p "" 2 1 "(2,1)" { "h" "l" } 0
p "" 1 2 "(1,3)" { "H" "L" } 1 "Outcome 1" { 10, 2 }
p "" 2 2 "(2,3)" { "h" "l" } 0
t "" 1 "Outcome 1" { 10, 2 }
t "" 2 "Outcome 2" { 0, 10 }
p "" 2 2 "(2,3)" { "h" "l" } 0
t "" 3 "Outcome 3" { 2, 4 }
t "" 4 "Outcome 4" { 4, 0 }
p "" 1 3 "(1,4)" { "H" "L" } 2 "Outcome 2" { 0, 10 }
p "" 2 3 "(2,4)" { "h" "l" } 0
t "" 1 "Outcome 1" { 10, 2 }
t "" 2 "Outcome 2" { 0, 10 }
p "" 2 3 "(2,4)" { "h" "l" } 0
t "" 3 "Outcome 3" { 2, 4 }
t "" 4 "Outcome 4" { 4, 0 }
p "" 2 1 "(2,1)" { "h" "l" } 0
p "" 1 4 "(1,5)" { "H" "L" } 3 "Outcome 3" { 2, 4 }
p "" 2 4 "(2,5)" { "h" "l" } 0
t "" 1 "Outcome 1" { 10, 2 }
t "" 2 "Outcome 2" { 0, 10 }
p "" 2 4 "(2,5)" { "h" "l" } 0
t "" 3 "Outcome 3" { 2, 4 }
t "" 4 "Outcome 4" { 4, 0 }
p "" 1 5 "(1,6)" { "H" "L" } 4 "Outcome 4" { 4, 0 }
p "" 2 5 "(2,6)" { "h" "l" } 0
t "" 1 "Outcome 1" { 10, 2 }
t "" 2 "Outcome 2" { 0, 10 }
p "" 2 5 "(2,6)" { "h" "l" } 0
t "" 3 "Outcome 3" { 2, 4 }
t "" 4 "Outcome 4" { 4, 0 }
p "" 1 1 "(1,1)" { "H" "L" } 0
p "" 2 6 "(2,2)" { "h" "l" } 0
p "" 1 2 "(1,3)" { "H" "L" } 5 "Outcome 5" { 10, 2 }
p "" 2 7 "(2,7)" { "h" "l" } 0
t "" 5 "Outcome 5" { 10, 2 }
t "" 6 "Outcome 6" { 0, 10 }
p "" 2 7 "(2,7)" { "h" "l" } 0
t "" 7 "Outcome 7" { 2, 4 }
t "" 8 "Outcome 8" { 4, 0 }
p "" 1 3 "(1,4)" { "H" "L" } 6 "Outcome 6" { 0, 10 }
p "" 2 8 "(2,8)" { "h" "l" } 0
t "" 5 "Outcome 5" { 10, 2 }
t "" 6 "Outcome 6" { 0, 10 }
p "" 2 8 "(2,8)" { "h" "l" } 0
t "" 7 "Outcome 7" { 2, 4 }
t "" 8 "Outcome 8" { 4, 0 }
p "" 2 6 "(2,2)" { "h" "l" } 0
p "" 1 4 "(1,5)" { "H" "L" } 7 "Outcome 7" { 2, 4 }
p "" 2 9 "(2,9)" { "h" "l" } 0
t "" 5 "Outcome 5" { 10, 2 }
t "" 6 "Outcome 6" { 0, 10 }
p "" 2 9 "(2,9)" { "h" "l" } 0
t "" 7 "Outcome 7" { 2, 4 }
t "" 8 "Outcome 8" { 4, 0 }
p "" 1 5 "(1,6)" { "H" "L" } 8 "Outcome 8" { 4, 0 }
p "" 2 10 "(2,10)" { "h" "l" } 0
t "" 5 "Outcome 5" { 10, 2 }
t "" 6 "Outcome 6" { 0, 10 }
p "" 2 10 "(2,10)" { "h" "l" } 0
t "" 7 "Outcome 7" { 2, 4 }
t "" 8 "Outcome 8" { 4, 0 }
c "" 3 "(0,3)" { "2g" 1/2 "2b" 1/2 } 0
p "" 1 6 "(1,2)" { "H" "L" } 0
p "" 2 1 "(2,1)" { "h" "l" } 0
p "" 1 7 "(1,7)" { "H" "L" } 9 "Outcome 9" { 4, 2 }
p "" 2 2 "(2,3)" { "h" "l" } 0
t "" 9 "Outcome 9" { 4, 2 }
t "" 10 "Outcome 10" { 2, 10 }
p "" 2 2 "(2,3)" { "h" "l" } 0
t "" 11 "Outcome 11" { 0, 4 }
t "" 12 "Outcome 12" { 10, 0 }
p "" 1 8 "(1,8)" { "H" "L" } 10 "Outcome 10" { 2, 10 }
p "" 2 3 "(2,4)" { "h" "l" } 0
t "" 9 "Outcome 9" { 4, 2 }
t "" 10 "Outcome 10" { 2, 10 }
p "" 2 3 "(2,4)" { "h" "l" } 0
t "" 11 "Outcome 11" { 0, 4 }
t "" 12 "Outcome 12" { 10, 0 }
p "" 2 1 "(2,1)" { "h" "l" } 0
p "" 1 9 "(1,9)" { "H" "L" } 11 "Outcome 11" { 0, 4 }
p "" 2 4 "(2,5)" { "h" "l" } 0
t "" 9 "Outcome 9" { 4, 2 }
t "" 10 "Outcome 10" { 2, 10 }
p "" 2 4 "(2,5)" { "h" "l" } 0
t "" 11 "Outcome 11" { 0, 4 }
t "" 12 "Outcome 12" { 10, 0 }
p "" 1 10 "(1,10)" { "H" "L" } 12 "Outcome 12" { 10, 0 }
p "" 2 5 "(2,6)" { "h" "l" } 0
t "" 9 "Outcome 9" { 4, 2 }
t "" 10 "Outcome 10" { 2, 10 }
p "" 2 5 "(2,6)" { "h" "l" } 0
t "" 11 "Outcome 11" { 0, 4 }
t "" 12 "Outcome 12" { 10, 0 }
p "" 1 6 "(1,2)" { "H" "L" } 0
p "" 2 6 "(2,2)" { "h" "l" } 0
p "" 1 7 "(1,7)" { "H" "L" } 13 "Outcome 13" { 4, 2 }
p "" 2 7 "(2,7)" { "h" "l" } 0
t "" 14 "Outcome 13" { 4, 2 }
t "" 15 "Outcome 14" { 2, 10 }
p "" 2 7 "(2,7)" { "h" "l" } 0
t "" 16 "Outcome 15" { 0, 4 }
t "" 17 "Outcome 16" { 10, 0 }
p "" 1 8 "(1,8)" { "H" "L" } 18 "Outcome 14" { 2, 10 }
p "" 2 8 "(2,8)" { "h" "l" } 0
t "" 14 "Outcome 13" { 4, 2 }
t "" 15 "Outcome 14" { 2, 10 }
p "" 2 8 "(2,8)" { "h" "l" } 0
t "" 16 "Outcome 15" { 0, 4 }
t "" 17 "Outcome 16" { 10, 0 }
p "" 2 6 "(2,2)" { "h" "l" } 0
p "" 1 9 "(1,9)" { "H" "L" } 19 "Outcome 15" { 0, 4 }
p "" 2 9 "(2,9)" { "h" "l" } 0
t "" 14 "Outcome 13" { 4, 2 }
t "" 15 "Outcome 14" { 2, 10 }
p "" 2 9 "(2,9)" { "h" "l" } 0
t "" 16 "Outcome 15" { 0, 4 }
t "" 17 "Outcome 16" { 10, 0 }
p "" 1 10 "(1,10)" { "H" "L" } 20 "Outcome 16" { 10, 0 }
p "" 2 10 "(2,10)" { "h" "l" } 0
t "" 14 "Outcome 13" { 4, 2 }
t "" 15 "Outcome 14" { 2, 10 }
p "" 2 10 "(2,10)" { "h" "l" } 0
t "" 16 "Outcome 15" { 0, 4 }
t "" 17 "Outcome 16" { 10, 0 }