About the CoMSES Model Library more info
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.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
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“Food for all” (FFD)
Andreas Angourakis José Manuel Galán Andrea L Balbo José Santos | Published Friday, April 25, 2014 | Last modified Monday, April 08, 2019“Food for all” (FFD) is an agent-based model designed to study the evolution of cooperation for food storage. Households face the social dilemma of whether to store food in a corporate stock or to keep it in a private stock.
The model implements a model that reflects features of a rural hill village in Nepal. Key features of the model include water storage, social capital and migration of household members who then send remittances back to the village.
Political Participation
Didier Ruedin | Published Saturday, April 12, 2014 | Last modified Sunday, September 28, 2025Implementation of Milbrath’s (1965) model of political participation. Individual participation is determined by stimuli from the political environment, interpersonal interaction, as well as individual characteristics.
Opinion Dynamics Under Intergroup Conflict Escalation
Meysam Alizadeh Alin Coman Michael Lewis Katia Sycara | Published Friday, March 14, 2014 | Last modified Wednesday, October 29, 2014We develop an agent-based model to explore the effect of perceived intergroup conflict escalation on the number of extremists. The proposed model builds on the 2D bounded confidence model proposed by Huet et al (2008).
Peer reviewed An agent-based model to identify management practices, integrity and performance in Kenya’s and Ghana’s Water Service Delivery
Georg Holtz Claudia Pahl-Wostl Francesc Bellaubi | Published Sunday, March 09, 2014 | Last modified Tuesday, July 15, 2014The ABM looks at how the performance of Water Service Delivery is affected by the relation between management practices and integrity in terms of transparency, accountability and participation
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.
Coalitions in Networked Innovation
Rory Sie Peter Sloep Marlies Bitter-Rijpkema | Published Tuesday, February 11, 2014A first version of a model that describes how coalitions are formed during open, networked innovation
PSMED - Patagonia Simple Model of Ethnic Differentiation
Xavier Vilà Joan A Barceló J A Cuesta Florencia Del Castillo Ricardo Del Olmo José M Galán Laura Mameli Francisco J Miguel David Poza José I Santos | Published Tuesday, December 10, 2013Patagonia PSMED is an agent-based model designed to study a simple case of Evolution of Ethnic Differentiation. It replicates how can hunter-gatherer societies evolve and built cultural identities as a consequence of the way they interacted.
Mobility USA (MUSA)
Giangiacomo Bravo Davide Natalini | Published Sunday, December 08, 2013 | Last modified Monday, December 30, 2013MUSA is an ABM that simulates the commuting sector in USA. A multilevel validation was implemented. Social network with a social-circle structure included. Two types of policies have been tested: market-based and preference-change.
This is the final version of the model. To simulate the normative dynamics we used the EmIL (EMergence In the Loop) Framework which was kindly provided by Ulf Lotzmann. http://cfpm.org/EMIL-D5.1.pdf
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