def initialize(): print 'Initializing...' Sim.initialize() print 'Random seed: ' + repr(params['random seed']) random.seed(params['random seed']) pop0 = LinePopulation( 500.0, 500.0, params['initial x std dev'], params['initial y std dev'], params['mean speak'], params['mean learn'], params['mean innovation'], 500.0, params['pop0 loc sd'], params['mean talk radius'] ) for i in range(params['num agents']): pop0.new_agent() segregator = Segregator() Sim.activate( segregator, segregator.go() )
def main():
print 'Initializing...'
Sim.initialize()
white = LinePopulation( params['white x mean'], params['white y mean'],
params['white x std dev'], params['white y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['white mean loc'],
params['white loc sd'], params['white talk radius'], 'white' )
seasoned = LinePopulation( 0.0, 0.0, 0.0, 0.0, params['mean speak'],
params['mean learn'], params['mean innovation'], params['seasoned mean loc'],
params['seasoned loc sd'], params['seasoned talk radius'], 'seasoned' )
bozal0 = LinePopulation( params['bozal0 x mean'], params['bozal0 y mean'],
params['bozal0 x std dev'], params['bozal0 y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['bozal mean loc'],
params['bozal loc sd'], params['bozal talk radius'], 'bozal 0')
bozal1 = LinePopulation( params['bozal1 x mean'], params['bozal1 y mean'],
params['bozal1 x std dev'], params['bozal1 y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['bozal mean loc'],
params['bozal loc sd'], params['bozal talk radius'], 'bozal 1' )
for i in range(params['num white']):
white.new_agent()
for i in range(params['num slaves']):
if i%2 == 0:
bozal0.new_agent()
else:
bozal1.new_agent()
adjuster = PopAdjuster( white, seasoned, bozal0, bozal1, params['update period'],
params['pop schedule'], params['white pop targets'],
params['slave pop targets'], params['proportion seasoned'] )
Sim.activate( adjuster, adjuster.go() )
number = math.ceil(params['proportion seasoned']*white.num_agents())
adjuster.get_seasoned( number, white, bozal0, bozal1, seasoned )
plotter = Plotter('gradual', params['plot period'], params['stop time'], params)
Sim.activate( plotter, plotter.go() )
print 'Simulating...'
Sim.simulate(until=params['stop time'])
print 'Simulation Complete at t=%s' % Sim.now()
plotter.cleanup()
def go(self):
yield Sim.hold, self, params['segregate time']
random.shuffle(LineAgent.all_agents)
pop1 = LinePopulation( 500.0, 500.0, 20.0, 20.0, params['mean speak'],
params['mean learn'], params['mean innovation'],
params['pop1 mean loc'], params['pop1 loc sd'],
params['mean talk radius'])
pop2 = LinePopulation( 500.0, 500.0, 20.0, 20.0, params['mean speak'],
params['mean learn'], params['mean innovation'],
params['pop2 mean loc'], params['pop2 loc sd'],
params['mean talk radius'])
for agent in LineAgent.all_agents:
if len(pop1.all_agents()) < params['pop1 proportion']*LineAgent.num_agents():
pop1.add_agent(agent)
else:
pop2.add_agent(agent)
LineAgent.all_agents.sort(lambda x,y:cmp(x.location,y.location))
LinePopulation.all_pops.pop('Population 0')
def main():
print 'Initializing...'
Sim.initialize()
white = LinePopulation( params['white x mean'], params['white y mean'],
params['white x std dev'], params['white y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['white mean loc'],
params['white loc sd'], params['white talk radius'], 'white' )
seasoned = LinePopulation( params['seasoned x mean'], params['seasoned y mean'],
params['seasoned x std dev'], params['seasoned y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['seasoned mean loc'],
params['seasoned loc sd'], params['seasoned talk radius'], 'seasoned' )
bozal0 = LinePopulation( params['bozal0 x mean'], params['bozal0 y mean'],
params['bozal0 x std dev'], params['bozal0 y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['bozal mean loc'],
params['bozal loc sd'], params['bozal talk radius'], 'bozal 0')
bozal1 = LinePopulation( params['bozal1 x mean'], params['bozal1 y mean'],
params['bozal1 x std dev'], params['bozal1 y std dev'], params['mean speak'],
params['mean learn'], params['mean innovation'], params['bozal mean loc'],
params['bozal loc sd'], params['bozal talk radius'], 'bozal 1' )
for i in range(params['num white']):
white.new_agent()
for i in range(params['num seasoned']):
seasoned.new_agent()
for i in range(params['num bozal']):
if i%2 == 0:
bozal0.new_agent()
else:
bozal1.new_agent()
plotter = Plotter('centripetal', params['plot period'], params['stop time'], params)
Sim.activate( plotter, plotter.go() )
print 'Simulating...'
Sim.simulate(until=params['stop time'])
print 'Simulation Complete at t=%s' % Sim.now()
plotter.cleanup()
