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103 lines
4.1 KiB
Python
103 lines
4.1 KiB
Python
import random
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from . import BaseAgent
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class SentimentCorrelationModel(BaseAgent):
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"""
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Settings:
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outside_effects_prob
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anger_prob
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joy_prob
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sadness_prob
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disgust_prob
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"""
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def __init__(self, environment=None, agent_id=0, state=()):
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super().__init__(environment=environment, agent_id=agent_id, state=state)
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self.outside_effects_prob = environment.environment_params['outside_effects_prob']
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self.anger_prob = environment.environment_params['anger_prob']
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self.joy_prob = environment.environment_params['joy_prob']
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self.sadness_prob = environment.environment_params['sadness_prob']
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self.disgust_prob = environment.environment_params['disgust_prob']
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self.state['time_awareness'] = []
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for i in range(4): # In this model we have 4 sentiments
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self.state['time_awareness'].append(0) # 0-> Anger, 1-> joy, 2->sadness, 3 -> disgust
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self.state['sentimentCorrelation'] = 0
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def step(self):
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self.behaviour()
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def behaviour(self):
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angry_neighbors_1_time_step = []
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joyful_neighbors_1_time_step = []
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sad_neighbors_1_time_step = []
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disgusted_neighbors_1_time_step = []
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angry_neighbors = self.get_neighboring_agents(state_id=1)
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for x in angry_neighbors:
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if x.state['time_awareness'][0] > (self.env.now-500):
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angry_neighbors_1_time_step.append(x)
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num_neighbors_angry = len(angry_neighbors_1_time_step)
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joyful_neighbors = self.get_neighboring_agents(state_id=2)
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for x in joyful_neighbors:
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if x.state['time_awareness'][1] > (self.env.now-500):
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joyful_neighbors_1_time_step.append(x)
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num_neighbors_joyful = len(joyful_neighbors_1_time_step)
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sad_neighbors = self.get_neighboring_agents(state_id=3)
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for x in sad_neighbors:
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if x.state['time_awareness'][2] > (self.env.now-500):
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sad_neighbors_1_time_step.append(x)
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num_neighbors_sad = len(sad_neighbors_1_time_step)
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disgusted_neighbors = self.get_neighboring_agents(state_id=4)
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for x in disgusted_neighbors:
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if x.state['time_awareness'][3] > (self.env.now-500):
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disgusted_neighbors_1_time_step.append(x)
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num_neighbors_disgusted = len(disgusted_neighbors_1_time_step)
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anger_prob = self.anger_prob+(len(angry_neighbors_1_time_step)*self.anger_prob)
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joy_prob = self.joy_prob+(len(joyful_neighbors_1_time_step)*self.joy_prob)
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sadness_prob = self.sadness_prob+(len(sad_neighbors_1_time_step)*self.sadness_prob)
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disgust_prob = self.disgust_prob+(len(disgusted_neighbors_1_time_step)*self.disgust_prob)
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outside_effects_prob = self.outside_effects_prob
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num = random.random()
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if num<outside_effects_prob:
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self.state['id'] = random.randint(1, 4)
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self.state['sentimentCorrelation'] = self.state['id'] # It is stored when it has been infected for the dynamic network
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self.state['time_awareness'][self.state['id']-1] = self.env.now
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self.state['sentiment'] = self.state['id']
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if(num<anger_prob):
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self.state['id'] = 1
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self.state['sentimentCorrelation'] = 1
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self.state['time_awareness'][self.state['id']-1] = self.env.now
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elif (num<joy_prob+anger_prob and num>anger_prob):
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self.state['id'] = 2
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self.state['sentimentCorrelation'] = 2
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self.state['time_awareness'][self.state['id']-1] = self.env.now
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elif (num<sadness_prob+anger_prob+joy_prob and num>joy_prob+anger_prob):
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self.state['id'] = 3
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self.state['sentimentCorrelation'] = 3
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self.state['time_awareness'][self.state['id']-1] = self.env.now
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elif (num<disgust_prob+sadness_prob+anger_prob+joy_prob and num>sadness_prob+anger_prob+joy_prob):
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self.state['id'] = 4
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self.state['sentimentCorrelation'] = 4
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self.state['time_awareness'][self.state['id']-1] = self.env.now
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self.state['sentiment'] = self.state['id']
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