def load_item(self, agent, destination_item_index):
self.items[destination_item_index].loaded = True
(agent_x, agent_y) = agent.get_position()
self.items[destination_item_index].remove_agent(agent_x, agent_y)
agent.last_loaded_item = copy(agent.item_to_load)
agent.last_loaded_item_pos = self.items[destination_item_index].get_position()
agent.item_to_load = -1
agent.reset_memory()
return agent
def load_item(self, agent, destination_item_index):
# print 'loaded item information by agent:' ,agent.index
# print 'position:' ,self.items[destination_item_index].get_position()
# print 'index: ',destination_item_index
self.items[destination_item_index].loaded = True
(agent_x, agent_y) = agent.get_position()
self.items[destination_item_index].remove_agent(agent_x, agent_y)
agent.last_loaded_item = deepcopy(agent.item_to_load)
agent.item_to_load = -1
# Empty the memory to choose new target
agent.reset_memory()
# print '6AGA_O_2'
return agent
def do_collaboration(self):
c_reward = 0
for item in self.items:
agents_total_level = 0
for agent in item.agents_load_item:
agents_total_level += agent.level
if agents_total_level >= item.level and item.agents_load_item !=[]:
item.loaded = True
c_reward += 1
for agent in item.agents_load_item:
if not agent.intelligent_agent:
agent.last_loaded_item_pos = item.get_position()
agent.reset_memory()
#print '2'
item.agents_load_item = list()
self.update_the_map()
return float(c_reward)