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mirror of https://github.com/gsi-upm/soil synced 2025-08-23 19:52:19 +00:00

Settings modules

This commit is contained in:
Tasio Mendez
2017-04-21 13:55:42 +02:00
parent dd4ce15a3d
commit f29f5fa5bf
11 changed files with 262 additions and 210 deletions

View File

@@ -1,10 +1,7 @@
import settings
import random
from ..BaseBehaviour import *
from .. import sentimentCorrelationNodeArray
settings.init()
class SentimentCorrelationModel(BaseBehaviour):
"""
@@ -22,15 +19,15 @@ class SentimentCorrelationModel(BaseBehaviour):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.outside_effects_prob = settings.outside_effects_prob
self.anger_prob = settings.anger_prob
self.joy_prob = settings.joy_prob
self.sadness_prob = settings.sadness_prob
self.disgust_prob = settings.disgust_prob
self.time_awareness=[]
for i in range(4): #In this model we have 4 sentiments
self.time_awareness.append(0) #0-> Anger, 1-> joy, 2->sadness, 3 -> disgust
sentimentCorrelationNodeArray[self.id][self.env.now]=0
self.outside_effects_prob = environment.outside_effects_prob
self.anger_prob = environment.anger_prob
self.joy_prob = environment.joy_prob
self.sadness_prob = environment.sadness_prob
self.disgust_prob = environment.disgust_prob
self.time_awareness = []
for i in range(4): # In this model we have 4 sentiments
self.time_awareness.append(0) # 0-> Anger, 1-> joy, 2->sadness, 3 -> disgust
sentimentCorrelationNodeArray[self.id][self.env.now] = 0
def step(self, now):
self.behaviour()
@@ -38,10 +35,10 @@ class SentimentCorrelationModel(BaseBehaviour):
def behaviour(self):
angry_neighbors_1_time_step=[]
joyful_neighbors_1_time_step=[]
sad_neighbors_1_time_step=[]
disgusted_neighbors_1_time_step=[]
angry_neighbors_1_time_step = []
joyful_neighbors_1_time_step = []
sad_neighbors_1_time_step = []
disgusted_neighbors_1_time_step = []
angry_neighbors = self.get_neighboring_agents(state_id=1)
for x in angry_neighbors:
@@ -67,18 +64,18 @@ class SentimentCorrelationModel(BaseBehaviour):
disgusted_neighbors_1_time_step.append(x)
num_neighbors_disgusted = len(disgusted_neighbors_1_time_step)
anger_prob= settings.anger_prob+(len(angry_neighbors_1_time_step)*settings.anger_prob)
joy_prob= settings.joy_prob+(len(joyful_neighbors_1_time_step)*settings.joy_prob)
sadness_prob = settings.sadness_prob+(len(sad_neighbors_1_time_step)*settings.sadness_prob)
disgust_prob = settings.disgust_prob+(len(disgusted_neighbors_1_time_step)*settings.disgust_prob)
outside_effects_prob= settings.outside_effects_prob
anger_prob = self.anger_prob+(len(angry_neighbors_1_time_step)*self.anger_prob)
joy_prob = self.joy_prob+(len(joyful_neighbors_1_time_step)*self.joy_prob)
sadness_prob = self.sadness_prob+(len(sad_neighbors_1_time_step)*self.sadness_prob)
disgust_prob = self.disgust_prob+(len(disgusted_neighbors_1_time_step)*self.disgust_prob)
outside_effects_prob = self.outside_effects_prob
num = random.random()
if(num<outside_effects_prob):
if num<outside_effects_prob:
self.state['id'] = random.randint(1,4)
sentimentCorrelationNodeArray[self.id][self.env.now]=self.state['id'] #It is stored when it has been infected for the dynamic network
sentimentCorrelationNodeArray[self.id][self.env.now]=self.state['id'] # It is stored when it has been infected for the dynamic network
self.time_awareness[self.state['id']-1] = self.env.now
self.attrs['sentiment'] = self.state['id']
@@ -95,13 +92,11 @@ class SentimentCorrelationModel(BaseBehaviour):
self.time_awareness[self.state['id']-1] = self.env.now
elif (num<sadness_prob+anger_prob+joy_prob and num>joy_prob+anger_prob):
self.state['id'] = 3
sentimentCorrelationNodeArray[self.id][self.env.now]=3
self.time_awareness[self.state['id']-1] = self.env.now
elif (num<disgust_prob+sadness_prob+anger_prob+joy_prob and num>sadness_prob+anger_prob+joy_prob):
self.state['id'] = 4
sentimentCorrelationNodeArray[self.id][self.env.now]=4
self.time_awareness[self.state['id']-1] = self.env.now