hood = moore_neighborhood(radius=4, center=old_position)
random.shuffle(hood)
for location in hood:
if agent.world.is_empty(location):
return location
return old_position
def schedule():
for agent in myagents:
move(agent)
def run(maxiter):
for ct in range(maxiter):
myobserver.off()
schedule()
myobserver.on()
#create a grid and a world based on this grid
mygrid = TorusGrid(shape=params['world_shape'])
myworld = GridWorld(topology=mygrid)
#create agents, located in `myworld`, and then set display suggestions
myagents = myworld.create_agents(AgentType=Agent, number=params['n_agents'])
for agent in myagents:
agent.display(shape='circle', fillcolor='red', shapesize=(0.25,0.25))
#add an observer
myobserver = GridWorldGUI(myworld)
#run the simulation by repeatedly executing the schedule
run(maxiter=params['maxiter'])
#dw
random.shuffle(hood)
for location in hood:
if agent.world.is_empty(location):
return location
return old_position
def schedule():
for agent in myagents:
move(agent)
def run(maxiter):
for ct in range(maxiter):
myobserver.off()
schedule()
myobserver.on()
#create a grid and a world based on this grid
mygrid = TorusGrid(shape=params['world_shape'])
myworld = GridWorld(topology=mygrid)
#create agents, located in `myworld`, and then set display suggestions
myagents = myworld.create_agents(AgentType=Agent, number=params['n_agents'])
for agent in myagents:
agent.display(shape='circle', fillcolor='red', shapesize=(0.25, 0.25))
#add an observer
myobserver = GridWorldGUI(myworld)
#run the simulation by repeatedly executing the schedule
run(maxiter=params['maxiter'])
