Household and consumption

The Household class extends the agent by giving him utility functions and the ability to consume goods.

class abce.agents.Household

Bases: object

consume(input_goods)

consumes input_goods returns utility according to the agent’s consumption function

A utility_function, has to be set before see py:meth:~abceagent.Household.set_ utility_function, py:meth:~abceagent.Household.set_cobb_douglas_utility_function or

Args:

{‘input_good1’: amount1, ‘input_good2’: amount2 …}:

dictionary containing the amount of input good consumed.

Raises:

NotEnoughGoods: This is raised when the goods are insufficient.

Returns:

The utility as a number. To log it see example.

Example:

self.consumption_set = {'car': 1, 'ball': 2000, 'bike':  2}
self.consumption_set = {'car': 0, 'ball': 2500, 'bike':  20}
try:
    utility = self.consume(self.consumption_set)
except NotEnoughGoods:
    utility = self.consume(self.smaller_consumption_set)
self.log('utility': {'u': utility})

consume_everything()

consumes everything that is in the utility function returns utility according consumption

A utility_function, has to be set before see py:meth:~abceagent.Household.set_ utility_function, py:meth:~abceagent.Household.set_cobb_douglas_utility_function

Returns:

A the utility a number. To log it see example.

Example:

utility = self.consume_everything()
self.log('utility': {'u': utility})

get_utility_function()

the utility function should be created with: set_cobb_douglas_utility_function, set_utility_function or set_utility_function_fast

predict_utility(input_goods)

Predicts the utility of a vecor of input goods

Predicts the utility of consume_with_utility(utility_function, input_goods)

Args:

{'input_good1': amount1, 'input_good2': amount2 ...}: dictionary
containing the amount of input good used for the production.

Returns:

utility: Number

Example:

print(A.predict_utility(self._utility_function, {'ball': 2, 'paint': 1}))

set_cobb_douglas_utility_function(exponents)

creates a Cobb-Douglas utility function

Utility_functions are than used as an argument in consume_with_utility, predict_utility and predict_utility_and_consumption.

Args:

{‘input1’: exponent1, ‘input2’: exponent2 …}: dictionary containing good names ‘input’ and correstponding exponents

Returns:

A utility_function that can be used in consume_with_utility etc.

Example: self._utility_function = self.create_cobb_douglas({‘bread’ : 10, ‘milk’ : 1}) self.produce(self.plastic_utility_function, {‘bread’ : 20, ‘milk’ : 1})

set_utility_function(formula, use)

creates a utility function from a formula

The formula is a function that takes a dictionary of goods as an argument and returns a floating point number, the utility. use is a dictionary containing the percentage use of the goods used in the consumption. Goods can be fully used (=1) for example food, partially used e.G. a car. And not used at all (=0) for example a house.

Args:

formula:

a function that takes a dictionary of goods and computes the utility as a floating number.

use:

a dictionary that specifies for every good, how much it depreciates in percent.

Example:

self init(self):
    ...
    def utility_function(goods):
        return goods['house'] ** 0.2 * good['food'] ** 0.6 + good['car'] ** 0.2

    {'house': 0, 'food': 1, 'car': 0.05}

    self.set_utility_function(utility_function, use)