mirror of
https://github.com/gsi-upm/soil
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368 lines
17 KiB
Python
368 lines
17 KiB
Python
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import random
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import numpy as np
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from ..BaseBehaviour import *
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import settings
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import networkx as nx
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POPULATION = 0
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LEADERS = 1
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HAVEN = 2
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TRAININGENV = 3
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NON_RADICAL = 0
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NEUTRAL = 1
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RADICAL = 2
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POPNON =0
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POPNE=1
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POPRAD=2
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HAVNON=3
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HAVNE=4
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HAVRAD=5
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LEADER=6
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TRAINING = 7
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class TerroristModel(BaseBehaviour):
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num_agents = 0
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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.population = settings.network_params["number_of_nodes"] * settings.environment_params['initial_population']
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self.havens = settings.network_params["number_of_nodes"] * settings.environment_params['initial_havens']
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self.training_enviroments = settings.network_params["number_of_nodes"] * settings.environment_params['initial_training_enviroments']
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self.initial_radicalism = settings.environment_params['initial_radicalism']
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self.information_spread_intensity = settings.environment_params['information_spread_intensity']
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self.influence = settings.environment_params['influence']
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self.relative_inequality = settings.environment_params['relative_inequality']
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self.additional_influence = settings.environment_params['additional_influence']
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if TerroristModel.num_agents < self.population:
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self.state['type'] = POPULATION
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TerroristModel.num_agents = TerroristModel.num_agents + 1
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random1 = random.random()
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if random1 < 0.7:
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self.state['id'] = NON_RADICAL
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self.state['fstatus'] = POPNON
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elif random1 >= 0.7 and random1 < 0.9:
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self.state['id'] = NEUTRAL
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self.state['fstatus'] = POPNE
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elif random1 >= 0.9:
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self.state['id'] = RADICAL
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self.state['fstatus'] = POPRAD
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elif TerroristModel.num_agents < self.havens + self.population:
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self.state['type'] = HAVEN
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TerroristModel.num_agents = TerroristModel.num_agents + 1
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random2 = random.random()
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random1 = random2 + self.initial_radicalism
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if random1 < 1.2:
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self.state['id'] = NON_RADICAL
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self.state['fstatus'] = HAVNON
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elif random1 >= 1.2 and random1 < 1.6:
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self.state['id'] = NEUTRAL
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self.state['fstatus'] = HAVNE
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elif random1 >= 1.6:
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self.state['id'] = RADICAL
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self.state['fstatus'] = HAVRAD
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elif TerroristModel.num_agents < self.training_enviroments + self.havens + self.population:
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self.state['type'] = TRAININGENV
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self.state['fstatus'] = TRAINING
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TerroristModel.num_agents = TerroristModel.num_agents + 1
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def step(self, now):
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if self.state['type'] == POPULATION:
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self.population_and_leader_conduct()
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if self.state['type'] == LEADERS:
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self.population_and_leader_conduct()
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if self.state['type'] == HAVEN:
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self.haven_conduct()
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if self.state['type'] == TRAININGENV:
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self.training_enviroment_conduct()
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self.attrs['status'] = self.state['id']
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self.attrs['type'] = self.state['type']
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self.attrs['radicalism'] = self.state['rad']
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self.attrs['fstatus'] = self.state['fstatus']
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super().step(now)
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def population_and_leader_conduct(self):
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if self.state['id'] == NON_RADICAL:
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if self.state['rad'] == 0.000:
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self.state['rad'] = self.set_radicalism()
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self.non_radical_behaviour()
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if self.state['id'] == NEUTRAL:
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if self.state['rad'] == 0.000:
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self.state['rad'] = self.set_radicalism()
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while self.state['id'] == RADICAL:
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self.radical_behaviour()
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break
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self.neutral_behaviour()
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if self.state['id'] == RADICAL:
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if self.state['rad'] == 0.000:
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self.state['rad'] = self.set_radicalism()
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self.radical_behaviour()
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def haven_conduct(self):
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non_radical_neighbors = self.get_neighboring_agents(state_id=NON_RADICAL)
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neutral_neighbors = self.get_neighboring_agents(state_id=NEUTRAL)
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radical_neighbors = self.get_neighboring_agents(state_id=RADICAL)
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neighbors_of_non_radical = len(neutral_neighbors) + len(radical_neighbors)
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neighbors_of_neutral = len(non_radical_neighbors) + len(radical_neighbors)
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neighbors_of_radical = len(non_radical_neighbors) + len(neutral_neighbors)
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threshold = 8
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if (len(non_radical_neighbors) > neighbors_of_non_radical) and len(non_radical_neighbors) >= threshold:
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self.state['id'] = NON_RADICAL
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elif (len(neutral_neighbors) > neighbors_of_neutral) and len(neutral_neighbors) >= threshold:
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self.state['id'] = NEUTRAL
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elif (len(radical_neighbors) > neighbors_of_radical) and len(radical_neighbors) >= threshold:
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self.state['id'] = RADICAL
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if self.state['id'] == NEUTRAL:
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for neighbor in non_radical_neighbors:
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neighbor.state['rad'] = neighbor.state['rad'] + (self.influence + self.additional_influence) * self.information_spread_intensity
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if neighbor.state['rad'] >= 0.3 and neighbor.state['rad'] <= 0.59:
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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elif neighbor.state['rad'] > 0.59:
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neighbor.state['rad'] = 0.59
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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if self.state['id'] == RADICAL:
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for neighbor in non_radical_neighbors:
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neighbor.state['rad'] = neighbor.state['rad'] + (self.influence + self.additional_influence) * self.information_spread_intensity
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if neighbor.state['rad'] >= 0.3 and neighbor.state['rad'] <= 0.59:
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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elif neighbor.state['rad'] > 0.59:
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neighbor.state['rad'] = 0.59
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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for neighbor in neutral_neighbors:
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neighbor.state['rad'] = neighbor.state['rad'] + (self.influence + self.additional_influence) * self.information_spread_intensity
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if neighbor.state['rad'] >= 0.6:
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neighbor.state['id'] = RADICAL
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if neighbor.state['type'] != HAVEN and neighbor.state['type']!=TRAININGENV:
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if neighbor.state['rad'] >= 0.62:
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if create_leader(neighbor):
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neighbor.state['type'] = LEADERS
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neighbor.state['fstatus'] = LEADER
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# elif neighbor.state['type'] == LEADERS:
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# neighbor.state['type'] = POPULATION
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# neighbor.state['fstatus'] = POPRAD
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elif neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPRAD
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVRAD
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def training_enviroment_conduct(self):
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self.state['id'] = RADICAL
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self.state['rad'] = 1
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neighbors = self.get_neighboring_agents()
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for neighbor in neighbors:
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if neighbor.state['id'] == NON_RADICAL:
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neighbor.state['rad'] = neighbor.state['rad'] + (self.influence + self.additional_influence) * self.information_spread_intensity
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if neighbor.state['rad'] >= 0.3 and self.state['rad'] <= 0.59:
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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elif neighbor.state['rad'] > 0.59:
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neighbor.state['rad'] = 0.59
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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neighbor.state['rad'] = neighbor.state['rad'] + (neighbor.influence + neighbor.additional_influence) * neighbor.information_spread_intensity
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if neighbor.state['rad'] >= 0.3 and neighbor.state['rad'] <= 0.59:
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neighbor.state['id'] = NEUTRAL
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if neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPNE
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVNE
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elif neighbor.state['rad'] >= 0.6:
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neighbor.state['id'] = RADICAL
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if neighbor.state['type'] != HAVEN and neighbor.state['type'] != TRAININGENV:
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if neighbor.state['rad'] >= 0.62:
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if create_leader(neighbor):
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neighbor.state['type'] = LEADERS
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neighbor.state['fstatus'] = LEADER
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# elif neighbor.state['type'] == LEADERS:
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# neighbor.state['type'] = POPULATION
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# neighbor.state['fstatus'] = POPRAD
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elif neighbor.state['type'] == POPULATION:
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neighbor.state['fstatus'] = POPRAD
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elif neighbor.state['type'] == HAVEN:
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neighbor.state['fstatus'] = HAVRAD
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def non_radical_behaviour(self):
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neighbors = self.get_neighboring_agents()
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for neighbor in neighbors:
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if neighbor.state['type'] == POPULATION:
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if neighbor.state['id'] == NEUTRAL or neighbor.state['id'] == RADICAL:
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self.state['rad'] = self.state['rad'] + self.influence * self.information_spread_intensity
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if self.state['rad'] >= 0.3 and self.state['rad'] <= 0.59:
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self.state['id'] = NEUTRAL
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if self.state['type']==POPULATION:
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self.state['fstatus'] = POPNE
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elif self.state['type'] == HAVEN:
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self.state['fstatus'] = HAVNE
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elif self.state['rad'] > 0.59:
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self.state['rad'] = 0.59
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self.state['id'] = NEUTRAL
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if self.state['type']==POPULATION:
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self.state['fstatus'] = POPNE
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elif self.state['type'] == HAVEN:
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self.state['fstatus'] = HAVNE
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elif neighbor.state['type'] == LEADERS:
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if neighbor.state['id'] == NEUTRAL or neighbor.state['id'] == RADICAL:
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self.state['rad'] = self.state['rad'] + (self.influence + self.additional_influence) * self.information_spread_intensity
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if self.state['rad'] >= 0.3 and self.state['rad'] <= 0.59:
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self.state['id'] = NEUTRAL
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if self.state['type']==POPULATION:
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self.state['fstatus'] = POPNE
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elif self.state['type'] == HAVEN:
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self.state['fstatus'] = HAVNE
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elif self.state['rad'] > 0.59:
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self.state['rad'] = 0.59
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self.state['id'] = NEUTRAL
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if self.state['type']==POPULATION:
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self.state['fstatus'] = POPNE
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elif self.state['type'] == HAVEN:
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self.state['fstatus'] = HAVNE
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def neutral_behaviour(self):
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neighbors = self.get_neighboring_agents()
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for neighbor in neighbors:
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if neighbor.state['type'] == POPULATION:
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if neighbor.state['id'] == RADICAL:
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self.state['rad'] = self.state['rad'] + self.influence * self.information_spread_intensity
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if self.state['rad'] >= 0.6:
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self.state['id'] = RADICAL
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if self.state['type'] != HAVEN:
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if self.state['rad'] >= 0.62:
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if create_leader(self):
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self.state['type'] = LEADERS
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self.state['fstatus'] = LEADER
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# elif self.state['type'] == LEADERS:
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# self.state['type'] = POPULATION
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# self.state['fstatus'] = POPRAD
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elif neighbor.state['type'] == POPULATION:
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self.state['fstatus'] = POPRAD
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elif self.state['type'] == HAVEN:
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self.state['fstatus'] = HAVRAD
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elif neighbor.state['type'] == LEADERS:
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if neighbor.state['id'] == RADICAL:
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self.state['rad'] = self.state['rad'] + (self.influence + self.additional_influence) * self.information_spread_intensity
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if self.state['rad'] >= 0.6:
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self.state['id'] = RADICAL
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if self.state['type'] != HAVEN:
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if self.state['rad'] >= 0.62:
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if create_leader(self):
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self.state['type'] = LEADERS
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self.state['fstatus'] = LEADER
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# elif self.state['type'] == LEADERS:
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# self.state['type'] = POPULATION
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# self.state['fstatus'] = POPRAD
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elif neighbor.state['type'] == POPULATION:
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self.state['fstatus'] = POPRAD
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elif self.state['type'] == HAVEN:
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self.state['fstatus'] = HAVRAD
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def radical_behaviour(self):
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neighbors = self.get_neighboring_agents(state_id=RADICAL)
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for neighbor in neighbors:
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if self.state['rad']< neighbor.state['rad'] and self.state['type']== LEADERS and neighbor.state['type']==LEADERS:
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self.state['type'] = POPULATION
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self.state['fstatus'] = POPRAD
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def set_radicalism(self):
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if self.state['id'] == NON_RADICAL:
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radicalism = random.uniform(0.0, 0.29) * self.relative_inequality
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return radicalism
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elif self.state['id'] == NEUTRAL:
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radicalism = 0.3 + random.uniform(0.3, 0.59) * self.relative_inequality
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if radicalism >= 0.6:
|
||
|
|
self.state['id'] = RADICAL
|
||
|
|
return radicalism
|
||
|
|
elif self.state['id'] == RADICAL:
|
||
|
|
radicalism = 0.6 + random.uniform(0.6, 1.0) * self.relative_inequality
|
||
|
|
return radicalism
|
||
|
|
|
||
|
|
def get_partition(agent):
|
||
|
|
return settings.partition_param[agent.id]
|
||
|
|
|
||
|
|
def get_centrality(agent):
|
||
|
|
return settings.centrality_param[agent.id]
|
||
|
|
def get_centrality_given_id(id):
|
||
|
|
return settings.centrality_param[id]
|
||
|
|
|
||
|
|
def get_leader(partition):
|
||
|
|
if not bool(settings.leaders) or partition not in settings.leaders.keys():
|
||
|
|
return None
|
||
|
|
return settings.leaders[partition]
|
||
|
|
|
||
|
|
def set_leader(partition, agent):
|
||
|
|
settings.leaders[partition] = agent.id
|
||
|
|
|
||
|
|
def create_leader(agent):
|
||
|
|
my_partition = get_partition(agent)
|
||
|
|
old_leader = get_leader(my_partition)
|
||
|
|
|
||
|
|
if old_leader == None:
|
||
|
|
set_leader(my_partition, agent)
|
||
|
|
return True
|
||
|
|
else:
|
||
|
|
my_centrality = get_centrality(agent)
|
||
|
|
old_leader_centrality = get_centrality_given_id(old_leader)
|
||
|
|
if my_centrality > old_leader_centrality:
|
||
|
|
set_leader(my_partition, agent)
|
||
|
|
return True
|
||
|
|
return False
|
||
|
|
|
||
|
|
|
||
|
|
|