mirror of
https://github.com/gsi-upm/soil
synced 2025-09-14 04:02:21 +00:00
3776c4e5c5
* Removed references to `set_state` * Split some functionality from `agents` into separate files (`fsm` and `network_agents`) * Rename `neighboring_agents` to `neighbors` * Delete some spurious functions
103 lines
3.1 KiB
Python
103 lines
3.1 KiB
Python
import numpy as np
|
|
from . import FSM, state
|
|
|
|
|
|
class SISaModel(FSM):
|
|
"""
|
|
Settings:
|
|
neutral_discontent_spon_prob
|
|
|
|
neutral_discontent_infected_prob
|
|
|
|
neutral_content_spon_prob
|
|
|
|
neutral_content_infected_prob
|
|
|
|
discontent_neutral
|
|
|
|
discontent_content
|
|
|
|
variance_d_c
|
|
|
|
content_discontent
|
|
|
|
variance_c_d
|
|
|
|
content_neutral
|
|
|
|
standard_variance
|
|
"""
|
|
|
|
def __init__(self, environment, unique_id=0, state=()):
|
|
super().__init__(model=environment, unique_id=unique_id, state=state)
|
|
|
|
random = np.random.default_rng(seed=self._seed)
|
|
|
|
self.neutral_discontent_spon_prob = random.normal(
|
|
self.env["neutral_discontent_spon_prob"], self.env["standard_variance"]
|
|
)
|
|
self.neutral_discontent_infected_prob = random.normal(
|
|
self.env["neutral_discontent_infected_prob"], self.env["standard_variance"]
|
|
)
|
|
self.neutral_content_spon_prob = random.normal(
|
|
self.env["neutral_content_spon_prob"], self.env["standard_variance"]
|
|
)
|
|
self.neutral_content_infected_prob = random.normal(
|
|
self.env["neutral_content_infected_prob"], self.env["standard_variance"]
|
|
)
|
|
|
|
self.discontent_neutral = random.normal(
|
|
self.env["discontent_neutral"], self.env["standard_variance"]
|
|
)
|
|
self.discontent_content = random.normal(
|
|
self.env["discontent_content"], self.env["variance_d_c"]
|
|
)
|
|
|
|
self.content_discontent = random.normal(
|
|
self.env["content_discontent"], self.env["variance_c_d"]
|
|
)
|
|
self.content_neutral = random.normal(
|
|
self.env["content_neutral"], self.env["standard_variance"]
|
|
)
|
|
|
|
@state
|
|
def neutral(self):
|
|
# Spontaneous effects
|
|
if self.prob(self.neutral_discontent_spon_prob):
|
|
return self.discontent
|
|
if self.prob(self.neutral_content_spon_prob):
|
|
return self.content
|
|
|
|
# Infected
|
|
discontent_neighbors = self.count_neighbors(state_id=self.discontent)
|
|
if self.prob(scontent_neighbors * self.neutral_discontent_infected_prob):
|
|
return self.discontent
|
|
content_neighbors = self.count_neighbors(state_id=self.content.id)
|
|
if self.prob(s * self.neutral_content_infected_prob):
|
|
return self.content
|
|
return self.neutral
|
|
|
|
@state
|
|
def discontent(self):
|
|
# Healing
|
|
if self.prob(self.discontent_neutral):
|
|
return self.neutral
|
|
|
|
# Superinfected
|
|
content_neighbors = self.count_neighbors(state_id=self.content.id)
|
|
if self.prob(s * self.discontent_content):
|
|
return self.content
|
|
return self.discontent
|
|
|
|
@state
|
|
def content(self):
|
|
# Healing
|
|
if self.prob(self.content_neutral):
|
|
return self.neutral
|
|
|
|
# Superinfected
|
|
discontent_neighbors = self.count_neighbors(state_id=self.discontent.id)
|
|
if self.prob(scontent_neighbors * self.content_discontent):
|
|
self.discontent
|
|
return self.content
|