本文整理汇总了Python中mesa.time.RandomActivation.get_agent_count方法的典型用法代码示例。如果您正苦于以下问题：Python RandomActivation.get_agent_count方法的具体用法？Python RandomActivation.get_agent_count怎么用？Python RandomActivation.get_agent_count使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类mesa.time.RandomActivation的用法示例。
在下文中一共展示了RandomActivation.get_agent_count方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: SchellingModel
# 需要导入模块: from mesa.time import RandomActivation [as 别名]
# 或者: from mesa.time.RandomActivation import get_agent_count [as 别名]
class SchellingModel(Model):
'''
Model class for the Schelling segregation model.
'''
def __init__(self, height, width, density, minority_pc, homophily):
'''
'''
self.height = height
self.width = width
self.density = density
self.minority_pc = minority_pc
self.homophily = homophily
self.schedule = RandomActivation(self)
self.grid = Grid(height, width, torus=True)
self.happy = 0
self.datacollector = DataCollector(
{"happy": lambda m: m.happy}, # Model-level count of happy agents
# For testing purposes, agent's individual x and y
{"x": lambda a: a.x, "y": lambda a: a.y})
self.running = True
# Set up agents
for x in range(self.width):
for y in range(self.height):
if random.random() < self.density:
if random.random() < self.minority_pc:
agent_type = 1
else:
agent_type = 0
agent = SchellingAgent((x,y), x, y, agent_type)
self.grid[y][x] = agent
self.schedule.add(agent)
def get_empty(self):
'''
Get a list of coordinate tuples of currently-empty cells.
'''
empty_cells = []
for x in range(self.width):
for y in range(self.height):
if self.grid[y][x] is None:
empty_cells.append((x, y))
return empty_cells
def step(self):
'''
Run one step of the model. If All agents are happy, halt the model.
'''
self.happy = 0 # Reset counter of happy agents
self.schedule.step()
self.datacollector.collect(self)
if self.happy == self.schedule.get_agent_count():
self.running = False示例2: Schelling
# 需要导入模块: from mesa.time import RandomActivation [as 别名]
# 或者: from mesa.time.RandomActivation import get_agent_count [as 别名]
class Schelling(Model):
'''
Model class for the Schelling segregation model.
'''
def __init__(self, height=20, width=20, density=0.8, minority_pc=0.2, homophily=3):
'''
'''
self.height = height
self.width = width
self.density = density
self.minority_pc = minority_pc
self.homophily = homophily
self.schedule = RandomActivation(self)
self.grid = SingleGrid(height, width, torus=True)
self.happy = 0
self.datacollector = DataCollector(
{"happy": "happy"}, # Model-level count of happy agents
# For testing purposes, agent's individual x and y
{"x": lambda a: a.pos[0], "y": lambda a: a.pos[1]})
# Set up agents
# We use a grid iterator that returns
# the coordinates of a cell as well as
# its contents. (coord_iter)
for cell in self.grid.coord_iter():
x = cell[1]
y = cell[2]
if self.random.random() < self.density:
if self.random.random() < self.minority_pc:
agent_type = 1
else:
agent_type = 0
agent = SchellingAgent((x, y), self, agent_type)
self.grid.position_agent(agent, (x, y))
self.schedule.add(agent)
self.running = True
self.datacollector.collect(self)
def step(self):
'''
Run one step of the model. If All agents are happy, halt the model.
'''
self.happy = 0 # Reset counter of happy agents
self.schedule.step()
# collect data
self.datacollector.collect(self)
if self.happy == self.schedule.get_agent_count():
self.running = False示例3: SchellingModel
# 需要导入模块: from mesa.time import RandomActivation [as 别名]
# 或者: from mesa.time.RandomActivation import get_agent_count [as 别名]
class SchellingModel(Model):
'''
Model class for the Schelling segregation model.
'''
def __init__(self, height, width, density, type_pcs=[.2, .2, .2, .2, .2]):
'''
'''
self.height = height
self.width = width
self.density = density
self.type_pcs = type_pcs
self.schedule = RandomActivation(self)
self.grid = SingleGrid(height, width, torus=False)
self.happy = 0
self.datacollector = DataCollector(
{"happy": lambda m: m.happy}, # Model-level count of happy agents
# For testing purposes, agent's individual x and y
{"x": lambda a: a.pos[0], "y": lambda a: a.pos[1]})
self.running = True
# Set up agents
# We use a grid iterator that returns
# the coordinates of a cell as well as
# its contents. (coord_iter)
total_agents = self.height * self.width * self.density
agents_by_type = [total_agents*val for val in self.type_pcs]
for loc, types in enumerate(agents_by_type):
for i in range(int(types)):
pos = self.grid.find_empty()
agent = SchellingAgent(pos, self, loc)
self.grid.position_agent(agent, pos)
self.schedule.add(agent)
def step(self):
'''
Run one step of the model. If All agents are happy, halt the model.
'''
self.happy = 0 # Reset counter of happy agents
self.schedule.step()
self.datacollector.collect(self)
if self.happy == self.schedule.get_agent_count():
self.running = False示例4: SchellingModel
# 需要导入模块: from mesa.time import RandomActivation [as 别名]
# 或者: from mesa.time.RandomActivation import get_agent_count [as 别名]
class SchellingModel(Model):
'''Model class for Schelling segregation model'''
def __init__(self, height=20, width=20, density=.8, group_ratio=.66, minority_ratio=.5, homophily=3):
self.height = height
self.width = width
self.density = density
self.group_ratio = group_ratio
self.minority_ratio = minority_ratio
self.homophily = homophily
self.happy = 0
self.segregated = 0
self.schedule = RandomActivation(self)
self.grid = SingleGrid(height, width, torus=False)
self.place_agents()
self.datacollector = DataCollector( {'happy': (lambda m: m.happy), 'segregated': (lambda m: m.segregated)})
self.running = True
def step(self):
'''Run one step of model'''
self.schedule.step()
self.calculate_stats()
self.datacollector.collect(self)
if self.happy == self.schedule.get_agent_count():
self.running = False
def place_agents(self):
for cell in self.grid.coord_iter():
x, y = cell[1:3]
if random.random() < self.density:
if random.random() < self.group_ratio:
if random.random() < self.minority_ratio:
group = 0
else:
group = 1
else:
group = 2
agent = SchellingAgent((x,y), group)
self.grid.position_agent(agent, (x,y))
self.schedule.add(agent)
for agent in self.schedule.agents:
count = 0
for neighbour in self.grid.iter_neighbors(agent.pos, moore=False):
if neighbour.group == agent.group:
count += 1
agent.similar = count
def calculate_stats(self):
happy_count = 0
avg_seg = 0
for agent in self.schedule.agents:
avg_seg += agent.similar
if agent.similar >= self.homophily:
happy_count += 1
self.happy = happy_count
self.segregated = avg_seg/self.schedule.get_agent_count()