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( 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()
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()