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41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
import random
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from . import BaseAgent
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class BassModel(BaseAgent):
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"""
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Settings:
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innovation_prob
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imitation_prob
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"""
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def __init__(self, environment, agent_id, state):
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super().__init__(environment=environment, agent_id=agent_id, state=state)
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env_params = environment.environment_params
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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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# Outside effects
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if random.random() < self.state_params['innovation_prob']:
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if self.state['id'] == 0:
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self.state['id'] = 1
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self.state['sentimentCorrelation'] = 1
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else:
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pass
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return
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# Imitation effects
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if self.state['id'] == 0:
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aware_neighbors = self.get_neighboring_agents(state_id=1)
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num_neighbors_aware = len(aware_neighbors)
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if random.random() < (self.state_params['imitation_prob']*num_neighbors_aware):
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self.state['id'] = 1
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self.state['sentimentCorrelation'] = 1
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else:
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pass
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