mirror of
https://github.com/gsi-upm/soil
synced 2025-10-31 15:48:16 +00:00
e1be3a730e
* Pandas integration * Improved environment * Logging and data dumps * Tests * Added Finite State Machine models * Rewritten ipython notebook and documentation
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
import random
|
|
from . import NetworkAgent
|
|
|
|
|
|
class BassModel(NetworkAgent):
|
|
"""
|
|
Settings:
|
|
innovation_prob
|
|
imitation_prob
|
|
"""
|
|
|
|
def __init__(self, environment, agent_id, state):
|
|
super().__init__(environment=environment, agent_id=agent_id, state=state)
|
|
env_params = environment.environment_params
|
|
self.state['sentimentCorrelation'] = 0
|
|
|
|
def step(self):
|
|
self.behaviour()
|
|
|
|
def behaviour(self):
|
|
# Outside effects
|
|
if random.random() < self.state_params['innovation_prob']:
|
|
if self.state['id'] == 0:
|
|
self.state['id'] = 1
|
|
self.state['sentimentCorrelation'] = 1
|
|
else:
|
|
pass
|
|
|
|
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.state_params['imitation_prob']*num_neighbors_aware):
|
|
self.state['id'] = 1
|
|
self.state['sentimentCorrelation'] = 1
|
|
|
|
else:
|
|
pass
|