172
X-Machines for Agent-Based Modeling: FLAME Perspectives
C
C
D
d
c
0 0 0 1 0 1 0 1 0 0 1 0 1 0 0 0 1 0 0 1 0
S t a t e 0
S t a t e 1
S t a t e 2
c
d
c , d
FIGURE 6.30: Mutant child of Parent-1 at mutation point state number 1
and state length 4.
TABLE 6.9: Numerical values in FLAME-IPD experiment.
Variable
Value
Landscape 200 x 200
n
50 (Number of players)
Coop
∗
48 (Cooperating equilibrium)
Def
∗
16 (Defecting equilibrium)
M ixed
∗
36 (Mixed equilibrium)
0
20
40
60
80
100
0
100
200
300
400
500
Average Payoff
Time
Payoff returned when playing the PD game
with coevolution
without coevolution
cooperating equilbrium
defecting equilbrium
mixed equilbrium
FIGURE 6.31: Score is payoff returned playing IPD game.
X-Machines for Agent-Based Modeling: FLAME Perspectives
C
C
D
d
c
0 0 0 1 0 1 0 1 0 0 1 0 1 0 0 0 1 0 0 1 0
S t a t e 0
S t a t e 1
S t a t e 2
c
d
c , d
FIGURE 6.30: Mutant child of Parent-1 at mutation point state number 1
and state length 4.
TABLE 6.9: Numerical values in FLAME-IPD experiment.
Variable
Value
Landscape 200 x 200
n
50 (Number of players)
Coop
∗
48 (Cooperating equilibrium)
Def
∗
16 (Defecting equilibrium)
M ixed
∗
36 (Mixed equilibrium)
0
20
40
60
80
100
0
100
200
300
400
500
Average Payoff
Time
Payoff returned when playing the PD game
with coevolution
without coevolution
cooperating equilbrium
defecting equilbrium
mixed equilbrium
FIGURE 6.31: Score is payoff returned playing IPD game.