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AMB to simulate monogamous marriages and to address how does variability in the life expectancy, marriage-age, and female-to-male ratio affect the rates of monogamous marriages in a population.

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MarriageModel

Credits to Dr Shah Jamal for creating the outline: The model was designed to simulate monogamous marriages and to address the following question: How does variability in the life expectancy, marriage-age, and female-to-male ratio affect the rates of monogamous marriages in a population?

Agents/Entities and Time: a. Agents/Entities: We have one kind of entity: individuals representing humans in a society. Agents are characterized by the following attributes: i. Gender: Either ‘male’ or ‘female’. ii. Age: specified in years, ranging from 1 to max-age. The default is 80 years. iii. Marital status: At any time, agents are either ‘unmarried’, ‘married’, or ‘widowed’. At the time an agent is created, they are assigned the ‘unmarried’ marital status. iv. Spouse: an agent with whom a marriage link is established. In that case, both the agent and their spouse’s marital status is set to ‘married’. [Hint: use nobody primitive in NetLogo for a spouse when a spouse does not exist – check dictionary]. b. Time: A tick (time step) in this model corresponds to one year in the lifetime of agents.

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AMB to simulate monogamous marriages and to address how does variability in the life expectancy, marriage-age, and female-to-male ratio affect the rates of monogamous marriages in a population.

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