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Agents FSM

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This commit is contained in:
Tasio Mendez 2018-05-18 15:38:25 +02:00
parent a0613f8a58
commit 125b7fad42
2 changed files with 23 additions and 22 deletions
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29
TerroristNetworkModel.py
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@ -1,6 +1,6 @@
import random
import networkx as nx
from soil.agents import BaseAgent, FSM, state
from soil.agents import BaseAgent, FSM, state, default_state
from scipy.spatial import cKDTree as KDTree
global betweenness_centrality_global
@ -133,7 +133,7 @@ class TerroristSpreadModel(FSM):
return [ G.nodes()[index]['agent'] for index in nodes ]
class TrainingAreaModel(BaseAgent):
class TrainingAreaModel(FSM):
"""
Settings:
training_influence
@ -150,13 +150,15 @@ class TrainingAreaModel(BaseAgent):
self.min_vulnerability = environment.environment_params['min_vulnerability']
else: self.min_vulnerability = 0
def step(self):
@default_state
@state
def terrorist(self):
for neighbour in self.get_neighboring_agents():
if isinstance(neighbour, TerroristSpreadModel) and neighbour.vulnerability > self.min_vulnerability:
neighbour.vulnerability = neighbour.vulnerability ** ( 1 - self.training_influence )
class HavenModel(BaseAgent):
class HavenModel(FSM):
"""
Settings:
haven_influence
@ -176,23 +178,22 @@ class HavenModel(BaseAgent):
else: self.min_vulnerability = 0
self.max_vulnerability = environment.environment_params['max_vulnerability']
def step(self):
civilian_haven = False
if self.state['id'] == 0:
@state
def civilian(self):
for neighbour_agent in self.get_neighboring_agents():
if isinstance(neighbour_agent, TerroristSpreadModel) and neighbour_agent['id'] == neighbor_agent.civilian.id:
civilian_haven = True
if civilian_haven:
self.state['id'] = 0 # Civilian Haven
if isinstance(neighbour_agent, TerroristSpreadModel) and neighbour_agent['id'] == neighbour_agent.civilian.id:
for neighbour in self.get_neighboring_agents():
if isinstance(neighbour, TerroristSpreadModel) and neighbour.vulnerability > self.min_vulnerability:
neighbour.vulnerability = neighbour.vulnerability * ( 1 - self.haven_influence )
else:
self.state['id'] = 1 # Terrorism Haven
return self.civilian
return self.terrorist
@state
def terrorist(self):
for neighbour in self.get_neighboring_agents():
if isinstance(neighbour, TerroristSpreadModel) and neighbour.vulnerability < self.max_vulnerability:
neighbour.vulnerability = neighbour.vulnerability ** ( 1 - self.haven_influence )
return self.terrorist
class TerroristNetworkModel(TerroristSpreadModel):