Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
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The role of spatial foresight in models of hominin dispersal
Colin Wren | Published Monday, February 24, 2014 | Last modified Monday, July 14, 2014The natural selection of foresight, an accuracy at assess the environment, under degrees of environmental heterogeneity. The model is designed to connect local scale mobility, from foraging, with the global scale phenomenon of population dispersal.
ForagerNet3_Demography_V2
Andrew White | Published Thursday, February 13, 2014ForagerNet3_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.
Peer reviewed Horse population dynamics
Nika Galic | Published Tuesday, November 12, 2013 | Last modified Wednesday, October 29, 2014This model investigates the link between prescribed growth in body size, population dynamics and density dependence through population feedback on available resources.
ForagerNet3_Demography: A Non-Spatial Model of Hunter-Gatherer Demography
Andrew White | Published Thursday, October 17, 2013 | Last modified Thursday, October 17, 2013ForagerNet3_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.
Peer reviewed Swidden Farming Version 2.0
C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 2014Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.
01a ModEco V2.05 – Model Economies – In C++
Garvin Boyle | Published Monday, February 04, 2013 | Last modified Friday, April 14, 2017Perpetual Motion Machine - A simple economy that operates at both a biophysical and economic level, and is sustainable. The goal: to determine the necessary and sufficient conditions of sustainability, and the attendant necessary trade-offs.
Mobility, Resource Harvesting and Robustness of Social-Ecological Systems
Irene Perez Ibarra | Published Monday, September 24, 2012 | Last modified Saturday, April 27, 2013The model is a stylized representation of a social-ecological system of agents moving and harvesting a renewable resource. The purpose is to analyze how mobility affects sustainability. Experiments changing agents’ mobility, landscape and information governments have can be run.
Replication of ECEC model: Environmental Feedback and the Evolution of Cooperation
Pierre Bommel | Published Tuesday, April 05, 2011 | Last modified Saturday, April 27, 2013The 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 […]
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