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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Kulayinjana
Christophe Le Page Arthur Perrotton Michel De Garine-Wichatitsky Barry Bitu Killion Koyisi Ferdinand Mwamba Cephus Ncube Victor Ncube Siphusisiwe Ndlovu Raphael Ngwenya Ambu Nyathi Fumbane Nyathi Patrick Sibanda Zenzo Sibanda | Published Monday, October 03, 2016a computer-based role-playing game simulating the interactions between farming activities, livestock herding and wildlife in a virtual landscape reproducing local socioecological dynamics at the periphery of Hwange National Park (Zimbabwe).
Foundress dilemma model
Marco Janssen Takao Sasaki Zachary Joseph Shaffer Stephen Pratt Brian Haney Jennifer Fewell | Published Thursday, July 28, 2016A haystack-style model of group selection to capture the essential features of colony foundation for queens of the ant based on observation of the ant Pogonomyrmex californicus.
Agent-based simulation of small group decision-making under no communication
Christopher Poile | Published Thursday, May 26, 2016A computational model of a classic small group study by Alex Bavelas. This computational model was designed to explore the difficulty in translating a seemingly simple real-world experiment into a computational model.
BehaviorSpace tutorial model
Colin Wren | Published Wednesday, March 23, 2016This is based off my previous Profiler tutorial model, but with an added tutorial on converting it into a model usable with BehaviorSpace, and creating a BehaviorSpace experiment.
How to not get stuck – an ant model showing how negative feedback due to crowding maintains flexibility in ant foraging
Tomer Czaczkes | Published Thursday, December 17, 2015Positive feedback can lead to “trapping” in local optima. Adding a simple negative feedback effect, based on ant behaviour, prevents this trapping
One of four extensions to the standard Adder model that replicates the various interventions typically associated with transition experiments.
This is one of four extensions to the standard Adder model that replicate the various interventions typical of transition experiments.
One of four extensions to the standard Adder model that replicates a common type of transition experiment.
The fourth and final extension to the standard Adder model to replicate the various interventions typically associated with Transition Experiments.
This is the R code of the mathematical model that includes the decision making formulations for artificial agents. Plus, the code for graphical output is also added to the original code.
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