Walker
Something can emerge from this. At the moment just random walkish behavior.
env = simpy.Environment() walker = Walker(env, random_decider, 3) env.process(walker.run()) env.run(until=1000)
Transferer
Randomly connected graph with transfer rules for mass. Its like a brownian expansion of the nodes of the graph but with underlying stochastic rules. So it does not look totally cahotic. There is some conservation.
graph = FriendsTransferers(49, env, 100, size=(8,8)) env.process(graph.update()) env.run(until=2000) graph.play_history(save=True, filepath='./assets/grid.gif')
