def main(argv):
print "# agents, agents/goals, delta t"
nTrials, size = 500, 15
agentsGoals = [(2, 12), (3, 11), (4, 10), (5, 9), (6, 8), (7, 7), (8, 6), (9, 5), (10, 4), (11, 3), (12, 2)]
for nAgents, nGoals in agentsGoals:
deltaT = []
for trial in range(nTrials):
world, agents = initWorld(nAgents, nGoals, size)
t_noncollab = timeToGoal(world)
world, agents = initWorld(nAgents, nGoals, size)
connectFully(agents)
t_collab = timeToGoal(world)
deltaT.append(t_noncollab - t_collab)
print "%s %s %s" % (nAgents, nAgents / float(nGoals), mean(deltaT))
def payoffForCollaboration(rate, agents, world, timeLimit=3000):
collaborators, t = [], 0
for a in agents:
if random() < rate:
collaborators.append(a)
connectFully(collaborators)
while world.getNumberOfBoxes() > 0 and t < timeLimit:
world.update()
t += 1
return (
t,
mean([x.getPoints() for x in collaborators]),
mean([x.getPoints() for x in agents if x not in collaborators]),
)
