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Copy pathWIP_worksheet_stability_check_many_runs.py
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WIP_worksheet_stability_check_many_runs.py
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from typing import Dict
import numpy as np
import agent as ag
from many_runs import run_n_runs_with_same_agent_positions
# WORK IN PROGRESS
initial_trust_human_to_AI = 0.46
update_up_alfa_human_to_AI = 0.007
update_down_beta_human_to_AI = 0.2
ag.initial_trust_human_to_AI = initial_trust_human_to_AI
ag.update_up_alfa_human_to_AI = update_up_alfa_human_to_AI
ag.update_down_beta_human_to_AI = update_down_beta_human_to_AI
epsilon = 0.001
def calculate_score(sim: Dict, last_n=1):
return np.mean((sim['error_rtsi'][-last_n:]))
def check_stability(sim1: Dict, sim2: Dict):
error1 = calculate_score(sim1)
error2 = calculate_score(sim2)
return {
# 'sim1': copy.deepcopy(sim1),
# 'sim2': copy.deepcopy(sim2),
'error1': error1,
'error2': error2,
'result': abs(error1 - error2) < epsilon
}
s_baseline = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0",
plot_charts=False)
result = []
ag.initial_trust_human_to_AI = initial_trust_human_to_AI + epsilon
s_disturbed = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0",
plot_charts=False)
result.append(check_stability(s_baseline, s_disturbed))
ag.initial_trust_human_to_AI = initial_trust_human_to_AI - epsilon
s_disturbed = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0", plot_charts=False)
result.append(check_stability(s_baseline, s_disturbed))
ag.initial_trust_human_to_AI = initial_trust_human_to_AI
#########
ag.update_up_alfa_human_to_AI = update_up_alfa_human_to_AI + epsilon
s_disturbed = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0", plot_charts=False)
result.append(check_stability(s_baseline, s_disturbed))
ag.update_up_alfa_human_to_AI = update_up_alfa_human_to_AI - epsilon
s_disturbed = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0", plot_charts=False)
result.append(check_stability(s_baseline, s_disturbed))
ag.update_up_alfa_human_to_AI = update_up_alfa_human_to_AI
#########
ag.update_down_beta_human_to_AI = update_down_beta_human_to_AI + epsilon
s_disturbed = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0", plot_charts=False)
result.append(check_stability(s_baseline, s_disturbed))
ag.update_down_beta_human_to_AI = update_down_beta_human_to_AI - epsilon
s_disturbed = run_n_runs_with_same_agent_positions(n_sim=15,
grid_state=5,
state=5,
no_periods=300,
no_agents=100,
is_bidirectional=False,
condition="0", plot_charts=False)
result.append(check_stability(s_baseline, s_disturbed))
ag.update_down_beta_human_to_AI = update_down_beta_human_to_AI