import numpy as np import reimbursement if __name__ == "__main__": # mu, sigma case analysis mu = np.float64(sys.argv[1]) s = np.float64(sys.argv[2]) # N case analysis #s = np.float64(sys.argv[1]) #N = int(sys.argv[2]) #case = sys.argv[3] model = reimbursement.SocialLearningSim(N=5, M=100, c=1., r=3., G=.7, B=.7, gamma=.7, beta=.7, sigma=1., alpha=.7, mu=mu, s=s, compulsory=False, SOP=False, case="competition") model.runAnalyticalSim()
import numpy as np import reimbursement if __name__ == "__main__": # mu, sigma case analysis mu = np.float64(sys.argv[1]) s = np.float64(sys.argv[2]) # N case analysis #s = np.float64(sys.argv[1]) #N = int(sys.argv[2]) #case = sys.argv[3] model = reimbursement.SocialLearningSim(N=5, M=100, c=1., r=3., G=.7, B=.7, gamma=.7, beta=.7, sigma=1., alpha=.7, mu=mu, s=s, compulsory=True, SOP=True, case="pool") model.runAnalyticalSim()