Computational Model Library

ForagerNet3_Demography_V3 (1.0.0)

​The FN3D_V3 model has three main levels: person, household, and system. Inter-related person- and household-level methods represent birth, death, and the creation/dissolution of male-female pair bonds (note: the terms “pair bond” and “marriage” are used inter-changeably in this description and denote the same behavior in the model). These methods and their inter-relationships were informed by data from ethnographic hunter-gatherers.

Many parameters in the model are continuously variable, allowing the model to be used to “sweep” through a range of values and observe how differences in parameters are related to model behavior. The dependency ratio (the ratio of consumers to producers in a household) is a key variable in many economic decisions embedded in the methods.

This model is not intended to represent all details of any particular hunter-gatherer system. The exclusion of extraneous detail is a purposeful strategy to aid in constructing a model whose structure and behavior are understandable. The representations in the model are generic and broadly applicable to a variety of hunter-gatherer systems.

FN3D_V3 is an altered version of the FN3D_V2 model described by White (2014).

FN3D_V3 was built using Repast Simphony.

The documentation provides (1) a description of the representations of time and the entities (persons, households, social links) in the model; (2) a brief overview of the major groups of methods in the model (pair bond, reproduction, and mortality); (3) model-level variables, parameters, and lists; and (4) a detailed description of the “rules” and the operations of the model with specific numeric reference to sections of the code.

model_graphic.jpg

Release Notes

Associated Publications

This version of the ForagerNet3_Demography model was used for a paper titled “The Sensitivity of Demographic Characteristics to the Strength of the Population Stabilizing Mechanism in a Model Hunter-Gatherer System” in Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling, edited by Marieka Brouwer Burg, Hans Peeters, and William Lovis, pp. 113-130. Switzerland: Springer International.

ForagerNet3_Demography_V3 1.0.0

​The FN3D_V3 model has three main levels: person, household, and system. Inter-related person- and household-level methods represent birth, death, and the creation/dissolution of male-female pair bonds (note: the terms “pair bond” and “marriage” are used inter-changeably in this description and denote the same behavior in the model). These methods and their inter-relationships were informed by data from ethnographic hunter-gatherers.

Many parameters in the model are continuously variable, allowing the model to be used to “sweep” through a range of values and observe how differences in parameters are related to model behavior. The dependency ratio (the ratio of consumers to producers in a household) is a key variable in many economic decisions embedded in the methods.

This model is not intended to represent all details of any particular hunter-gatherer system. The exclusion of extraneous detail is a purposeful strategy to aid in constructing a model whose structure and behavior are understandable. The representations in the model are generic and broadly applicable to a variety of hunter-gatherer systems.

FN3D_V3 is an altered version of the FN3D_V2 model described by White (2014).

FN3D_V3 was built using Repast Simphony.

The documentation provides (1) a description of the representations of time and the entities (persons, households, social links) in the model; (2) a brief overview of the major groups of methods in the model (pair bond, reproduction, and mortality); (3) model-level variables, parameters, and lists; and (4) a detailed description of the “rules” and the operations of the model with specific numeric reference to sections of the code.

Version Submitter First published Last modified Status
1.0.0 Andrew White Tue Nov 29 19:47:29 2016 Tue Feb 20 11:01:32 2018 Published

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept