def main():
random_seed = np.random.randint(4294967295)
parameters = {
"random_seed": random_seed,
"n_generations": 100,
"n_periods_per_generation": 30,
"n_goods": 5,
"n_agents": 100,
"p_mutation": 0.1,
"mating_rate": 0.3
}
e = Economy(**parameters)
e.run()
def compute(random_seed):
parameters = {
"mating_rate": 0.3,
"max_production": 10,
"n_agents": 300,
"n_generations": 10**4,
"n_goods": 3,
"n_periods_per_generation": 5,
"p_mutation": 0.1,
"production_advantages": [4, 2, 0.5],
"production_costs": [4, 2, 2],
"random_seed": random_seed,
"u": 10
}
e = Economy(**parameters)
return parameters, e.run()
def fun(args):
n_periods_per_generation = int(args[0])
random_seed = np.random.randint(4294967295)
# random_seed = 4043318547
parameters = {
"random_seed": random_seed,
"n_generations": 50,
"n_periods_per_generation": n_periods_per_generation,
"n_goods": 3,
"n_agents": 1000,
"p_mutation": 0.05
}
e = Economy(**parameters)
backup = e.run()
return np.mean(backup["production_diversity"][-10:])
from economy import Economy
from graph import graph
from os import path
random_seed = 460741801
parameters = {
"mating_rate": 0.3,
"max_production": 10,
"n_agents": 300,
"n_generations": 10**4,
"n_goods": 3,
"n_periods_per_generation": 5,
"p_mutation": 0.1,
"production_advantages": [4, 2, 0.5],
"production_costs": [4, 2, 2],
"random_seed": random_seed,
"u": 10
}
e = Economy(**parameters)
backup = e.run()
graph(results=backup,
parameters=parameters,
root_name="MB",
root_folder=path.expanduser("~Desktop/MoneyBootstrapping"))