Created
January 5, 2020 01:23
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Main script of Monte Carlo simulation of Monopoly
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opponents = [] | |
n_oppo = 4-1 # a 4-player game has 3 opponents | |
n_game = 1e6 | |
n_round_mean, n_round_std = get_n_round_stat(n_oppo) | |
# 1. Create opponents in a list | |
for _ in range(n_oppo): | |
opponents.append(Player()) | |
# 2. Simulate 1,000,000 games | |
for i in range(round(n_game)): | |
# by creating a new board and cleaning each player's states | |
board = Board() | |
for player in opponents: | |
player.new_game() | |
# 3. Simulate a random number of rounds per game | |
n_round = np.random.normal(n_round_mean, n_round_std) | |
for j in range(round(n_round)): | |
# 4. Simulate each turn for each player | |
for player in opponents: | |
board.turn(player=player) |
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