game = Nash()
# payoff matrix of "oscillating game"
# game.payoff = [
# [Tuple(6, 7), Tuple(5, 2), Tuple(5, 8), Tuple(0, 2), Tuple(0, 1)],
# [Tuple(1, 1), Tuple(3, 2), Tuple(5, 2), Tuple(1, 3), Tuple(5, 1)],
# [Tuple(1, 7), Tuple(2, 7), Tuple(1, 7), Tuple(4, 8), Tuple(8, 1)],
# [Tuple(0, 1), Tuple(4, 7), Tuple(8, 2), Tuple(3, 0), Tuple(0, 3)],
# [Tuple(8, 4), Tuple(3, 2), Tuple(1, 4), Tuple(9, 6), Tuple(1, 0)]
# ]
# payoff matrix of "normal game"
game.payoff = [
[Tuple(9, 8), Tuple(3, 0), Tuple(4, 2), Tuple(1, 1), Tuple(0, 2)],
[Tuple(3, 6), Tuple(9, 3), Tuple(8, 5), Tuple(3, 8), Tuple(9, 6)],
[Tuple(8, 9), Tuple(4, 7), Tuple(5, 3), Tuple(4, 4), Tuple(6, 5)],
[Tuple(1, 7), Tuple(5, 8), Tuple(9, 4), Tuple(1, 2), Tuple(3, 3)],
[Tuple(1, 7), Tuple(8, 8), Tuple(0, 9), Tuple(0, 5), Tuple(9, 3)]
]
game.show_payoff()
game.find_nash()
G = nx.DiGraph()
for i in range(5):
for j in range(5):
play_game(G, game, i, j)
nx.draw(G, pos=nx.spring_layout(G), with_labels=True, scale=10, center=(0,0))
plt.show()
game = Nash()
# payoff matrix of "oscillating game"
game.payoff = [
[Tuple(6, 7),
Tuple(5, 2),
Tuple(5, 8),
Tuple(0, 2),
Tuple(0, 1)],
[Tuple(1, 1),
Tuple(3, 2),
Tuple(5, 2),
Tuple(1, 3),
Tuple(5, 1)],
[Tuple(1, 7),
Tuple(2, 7),
Tuple(1, 7),
Tuple(4, 8),
Tuple(8, 1)],
[Tuple(0, 1),
Tuple(4, 7),
Tuple(8, 2),
Tuple(3, 0),
Tuple(0, 3)],
[Tuple(8, 4),
Tuple(3, 2),
Tuple(1, 4),
Tuple(9, 6),
Tuple(1, 0)]
]
# payoff matrix of "normal game"
