Agents

The abcEconomics.Agent class is the basic class for creating your agents. It automatically handles the possession of goods of an agent. In order to produce/transforme goods you also need to subclass the abcEconomics.Firm or to create a consumer the abcEconomics.Household.

For detailed documentation on:

Trading, see Trader

Logging and data creation, see Observing agents and logging.

Messaging between agents, see Messenger.

class abcEconomics.Agent(id, agent_parameters, simulation_parameters, name=None)

Bases: abcEconomics.logger.logger.Logger, abcEconomics.agents.trader.Trader, abcEconomics.agents.messenger.Messenger, abcEconomics.agents.goods.Goods

Every agent has to inherit this class. It connects the agent to the simulation and to other agent. The abcEconomics.Trade, abcEconomics.Logger and abcEconomics.Messenger classes are included. An agent can also inheriting from abcEconomics.Firm, abcEconomics.FirmMultiTechnologies or abcEconomics.Household classes.

Every method can return parameters to the simulation.

For example:

class Household(abcEconomics.Agent, abcEconomics.Household):
    def init(self, simulation_parameters, agent_parameters):
        self.num_firms = simulation_parameters['num_firms']
        self.type = agent_parameters['type']
        ...

    def selling(self):
        for i in range(self.num_firms):
            self.sell('firm', i, 'good', quantity=1, price=1)

    ...
    def return_quantity_of_good(self):
        return['good']


...

simulation = Simulation()
households = Simulation.build_agents(household, 'household',
                                     parameters={...},
                                     agent_parameters=[{'type': 'a'},
                                                       {'type': 'b'}])
for r in range(10):
    simulation.advance_round(r)
    households.selling()
    print(households.return_quantity_of_good())

group = None

self.group returns the agents group or type READ ONLY!

id = None

self.name returns the agents name, which is the group name and the id

init()

This method is called when the agents are build. It can be overwritten by the user, to initialize the agents. Parameters are the parameters given to abcEconomics.Simulation.build_agents().

Example:

class Student(abcEconomics.Agent):
    def init(self, rounds, age, lazy, school_size):
        self.rounds = rounds
        self.age = age
        self.lazy = lazy
        self.school_size = school_size

    def say(self):
        print('I am', self.age ' years old and go to a school
        that is ', self.school_size')


def main():
    sim = Simulation()
    students = sim.build_agents(Student, 'student',
                                agent_parameters=[{'age': 12, lazy: True},
                                                  {'age': 12, lazy: True},
                                                  {'age': 13, lazy: False},
                                                  {'age': 14, lazy: True}],
                                rounds=50,
                                school_size=990)

time = None

self.time, contains the time set with simulation.advance_round(time) you can set time to anything you want an integer or (12, 30, 21, 09, 1979) or ‘monday’