Computational Model Library

Displaying 6 of 16 results fertility clear search

Replication of ECEC model: Environmental Feedback and the Evolution of Cooperation

Pierre Bommel | Published Tuesday, April 05, 2011 | Last modified Saturday, April 27, 2013

The model, presented here, is a re-implementation of the Pepper and Smuts’ model : - Pepper, J.W. and B.B. Smuts. 2000. “The evolution of cooperation in an ecological context: an agent-based model”. Pp. 45-76 in T.A. Kohler and G.J. Gumerman, eds. Dynamics of human and primate societies: agent-based modeling of social and spatial processes. Oxford University Press, Oxford. - Pepper, J.W. and B.B. Smuts. 2002. “Assortment through Environmental Feedback”. American Naturalist, 160: 205-213 […]

ForagerNet3_Demography_V3

Andrew White | Published Tuesday, November 29, 2016

The ForagerNet3_Demography model is a non-spatial ABM designed to serve as a platform for exploring several aspects of hunter-gatherer demography.

Societal Simulator v203 fertility graph fix

Tim Gooding | Published Wednesday, November 26, 2014

This is the same model as used in the article ‘Modelling Society’s Evolutionary Forces’ except the Fertility graph has been corrected. The Fertility graph was not used in the published article.

ForagerNet3_Demography: A Non-Spatial Model of Hunter-Gatherer Demography

Andrew White | Published Thursday, October 17, 2013 | Last modified Thursday, October 17, 2013

ForagerNet3_Demography is a non-spatial ABM for exploring hunter-gatherer demography. Key methods represent birth, death, and marriage. The dependency ratio is an imporant variable in many economic decisions embedded in the methods.

ForagerNet3_Demography_V2

Andrew White | Published Thursday, February 13, 2014

ForagerNet3_Demography_V2 is a non-spatial ABM for exploring hunter-gatherer demography. This version (developed from FN3D_V1) contains code for calculating the ratio of old to young adults (the “OY ratio”) in the living and dead populations.

Communication and social change in space and time

Sebastian Kluesener Francesco Scalone Martin Dribe | Published Tuesday, May 17, 2016 | Last modified Friday, October 13, 2017

This agent-based model simulates the diffusion of a social change process stratified by social class in space and time which is solely driven social and spatial variation in communication links.

Displaying 6 of 16 results fertility clear search

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