1
0
mirror of https://github.com/gsi-upm/soil synced 2025-08-24 03:52:20 +00:00

Pre-release version of v1.0

This commit is contained in:
J. Fernando Sánchez
2023-04-20 17:56:44 +02:00
parent be65592055
commit cc238d84ec
75 changed files with 3438 additions and 7528 deletions

View File

@@ -2,6 +2,7 @@ import networkx as nx
from soil.agents import Geo, NetworkAgent, FSM, custom, state, default_state
from soil import Environment, Simulation
from soil.parameters import *
from soil.utils import int_seed
class TerroristEnvironment(Environment):
@@ -38,9 +39,8 @@ class TerroristEnvironment(Environment):
HavenModel
], [self.ratio_civil, self.ratio_leader, self.ratio_training, self.ratio_haven])
@staticmethod
def generator(*args, **kwargs):
return nx.random_geometric_graph(*args, **kwargs)
def generator(self, *args, **kwargs):
return nx.random_geometric_graph(*args, **kwargs, seed=int_seed(self._seed))
class TerroristSpreadModel(FSM, Geo):
"""
@@ -137,7 +137,7 @@ class TerroristSpreadModel(FSM, Geo):
def ego_search(self, steps=1, center=False, agent=None, **kwargs):
"""Get a list of nodes in the ego network of *node* of radius *steps*"""
node = agent.node_id
node = agent.node_id if agent else self.node_id
G = self.subgraph(**kwargs)
return nx.ego_graph(G, node, center=center, radius=steps).nodes()
@@ -279,26 +279,26 @@ class TerroristNetworkModel(TerroristSpreadModel):
)
)
neighbours = set(
agent.id
agent.unique_id
for agent in self.get_neighbors(agent_class=TerroristNetworkModel)
)
search = (close_ups | step_neighbours) - neighbours
for agent in self.get_agents(search):
social_distance = 1 / self.shortest_path_length(agent.id)
spatial_proximity = 1 - self.get_distance(agent.id)
social_distance = 1 / self.shortest_path_length(agent.unique_id)
spatial_proximity = 1 - self.get_distance(agent.unique_id)
prob_new_interaction = (
self.weight_social_distance * social_distance
+ self.weight_link_distance * spatial_proximity
)
if (
agent["id"] == agent.civilian.id
agent.state_id == "civilian"
and self.random.random() < prob_new_interaction
):
self.add_edge(agent)
break
def get_distance(self, target):
source_x, source_y = nx.get_node_attributes(self.G, "pos")[self.id]
source_x, source_y = nx.get_node_attributes(self.G, "pos")[self.unique_id]
target_x, target_y = nx.get_node_attributes(self.G, "pos")[target]
dx = abs(source_x - target_x)
dy = abs(source_y - target_y)
@@ -306,16 +306,17 @@ class TerroristNetworkModel(TerroristSpreadModel):
def shortest_path_length(self, target):
try:
return nx.shortest_path_length(self.G, self.id, target)
return nx.shortest_path_length(self.G, self.unique_id, target)
except nx.NetworkXNoPath:
return float("inf")
sim = Simulation(
model=TerroristEnvironment,
num_trials=1,
iterations=1,
name="TerroristNetworkModel_sim",
max_steps=150,
seed="default2",
skip_test=False,
dump=False,
)