mirror of
https://github.com/gsi-upm/soil
synced 2024-11-22 19:22:29 +00:00
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
import random
|
|
from ..BaseBehaviour import *
|
|
from .. import sentimentCorrelationNodeArray
|
|
|
|
|
|
class BassModel(BaseBehaviour):
|
|
"""
|
|
Settings:
|
|
innovation_prob
|
|
|
|
imitation_prob
|
|
"""
|
|
|
|
def __init__(self, environment=None, agent_id=0, state=()):
|
|
super().__init__(environment=environment, agent_id=agent_id, state=state)
|
|
self.innovation_prob = environment.environment_params['innovation_prob']
|
|
self.imitation_prob = environment.environment_params['imitation_prob']
|
|
sentimentCorrelationNodeArray[self.id][self.env.now] = 0
|
|
|
|
def step(self, now):
|
|
self.behaviour()
|
|
super().step(now)
|
|
|
|
def behaviour(self):
|
|
# Outside effects
|
|
if random.random() < self.innovation_prob:
|
|
if self.state['id'] == 0:
|
|
self.state['id'] = 1
|
|
sentimentCorrelationNodeArray[self.id][self.env.now] = 1
|
|
else:
|
|
pass
|
|
|
|
self.attrs['status'] = self.state['id']
|
|
return
|
|
|
|
# Imitation effects
|
|
if self.state['id'] == 0:
|
|
aware_neighbors = self.get_neighboring_agents(state_id=1)
|
|
num_neighbors_aware = len(aware_neighbors)
|
|
if random.random() < (self.imitation_prob*num_neighbors_aware):
|
|
self.state['id'] = 1
|
|
sentimentCorrelationNodeArray[self.id][self.env.now] = 1
|
|
|
|
else:
|
|
pass
|
|
self.attrs['status'] = self.state['id']
|