def __init__(self, simulation_parameters, agent_parameters, _pass_to_engine):
abceagent.Agent.__init__(self, *_pass_to_engine)
self.create('money', 100)
self.cobb_douglas_exponent = random.uniform(0, 1)
self.exp = 1 / (self.cobb_douglas_exponent)
self.sales_price = 1
self.num_downfirms = simulation_parameters['num_downfirm']
self.learner = CaclaLearner(1, 20)
if agent_parameters['type'] == 'K':
self.set_cobb_douglas('K', 1, {'labor': self.cobb_douglas_exponent})
self.captial_type = 'K'
elif agent_parameters['type'] == 'W':
self.set_cobb_douglas('W', 1, {'labor': self.cobb_douglas_exponent})
self.captial_type = 'W'
else:
SystemExit('wrong captial type in agent_parameters.csv')
self.learner.set_state([0])
self.begin_money = self.possession('money')
class UpFirm(abceagent.Agent, abceagent.Firm):
def __init__(self, simulation_parameters, agent_parameters, _pass_to_engine):
abceagent.Agent.__init__(self, *_pass_to_engine)
self.create('money', 100)
self.cobb_douglas_exponent = random.uniform(0, 1)
self.exp = 1 / (self.cobb_douglas_exponent)
self.sales_price = 1
self.num_downfirms = simulation_parameters['num_downfirm']
self.learner = CaclaLearner(1, 20)
if agent_parameters['type'] == 'K':
self.set_cobb_douglas('K', 1, {'labor': self.cobb_douglas_exponent})
self.captial_type = 'K'
elif agent_parameters['type'] == 'W':
self.set_cobb_douglas('W', 1, {'labor': self.cobb_douglas_exponent})
self.captial_type = 'W'
else:
SystemExit('wrong captial type in agent_parameters.csv')
self.learner.set_state([0])
self.begin_money = self.possession('money')
def labor_market_info_to_auctioneer(self):
""" sends it's cobb_douglas_exponent and sales_price ot the auctioneer """
self.sales_price = 1.1
self.cobb_douglas_exponent = 1.1
self.message('household', 0, 'upfirm_sales_price', self.sales_price)
self.message('household', 0, 'cobb_douglas_exponent', self.cobb_douglas_exponent)
def hire_labor(self):
""" hires as much labor as supplied, which is profit maximizing for the """
price = self.get_messages('labor_supply')[0].content
quantity = (self.cobb_douglas_exponent * self.sales_price / price) ** self.exp
try:
self.buy('household', 0, 'labor', quantity, price)
except NotEnoughGoods:
self.buy('household', 0, 'labor', self.possession('money') / price, price)
def sell_captial(self):
actions = self.learner.get_action()
actions = actions.reshape((10, 2))
for action in actions:
price = float(action[0]) * 10
quantity = min(float(action[1]) * self.possession(self.captial_type), self.possession(self.captial_type))
if price > 0:
rnd = random.randint(0, self.num_downfirms)
try:
self.sell('downfirm', rnd, self.captial_type, quantity, price)
except:
self.sell('downfirm', rnd, self.captial_type, self.possession(self.captial_type), price)
def production(self):
""" produces all he can """
self.log_value('labor_before_production', self.possession('labor'))
self.log('production', self.produce_use_everything())
def learn(self):
self.learner.set_state([0])
self.learner.give_reward(self.possession('money') - self.begin_money)
self.learner.learn()
self.begin_money = self.possession('money')
