About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
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 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 additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 8 of 8 results mate clear search
Peer reviewed Monogamous Reproduction in Small Populations and the Enforcement of the Incest Taboo
Ian Stuart | Published Wednesday, January 18, 2023This program was developed to simulate monogamous reproduction in small populations (and the enforcement of the incest taboo).
Every tick is a year. Adults can look for a mate and enter a relationship. Adult females in a Relationship (under the age of 52) have a chance to become pregnant. Everyone becomes not alive at 77 (at which point people are instead displayed as flowers).
User can select a starting-population. The starting population will be adults between the ages of 18 and 42.
…
Peer reviewed Evolution of Sex
Kristin Crouse | Published Sunday, June 05, 2016 | Last modified Monday, February 15, 2021Evolution of Sex is a NetLogo model that illustrates the advantages and disadvantages of sexual and asexual reproductive strategies. It seeks to demonstrate the answer to the question “Why do we have sex?”
Symmetric two-sided matching
Naoki Shiba | Published Wednesday, January 09, 2013 | Last modified Wednesday, May 29, 2013This is a replication model of the matching problem including the mate search problem, which is the generalization of a traditional optimization problem.
Hominin Ecodynamics v.1.1 (update for perception and interaction)
C Michael Barton | Published Wednesday, August 15, 2012 | Last modified Saturday, April 27, 2013Models land-use, perception, and biocultural interactions between two forager populations.
Hominin ecodynamics v.2
C Michael Barton | Published Monday, September 19, 2011 | Last modified Friday, March 28, 2014Simulates biobehavioral interactions between 2 populations of hominins.
Demographic microsimulation for individuals and couples
Sabine Zinn | Published Wednesday, January 14, 2015The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.
Asymmetric two-sided matching
Naoki Shiba | Published Wednesday, January 09, 2013 | Last modified Tuesday, May 28, 2013This model is an extended version of the matching problem including the mate search problem, which is the generalization of a traditional optimization problem. The matching problem is extended to a form of asymmetric two-sided matching problem.
Human mate choice is a complex system
Paul Smaldino Jeffrey C Schank | Published Friday, February 08, 2013 | Last modified Saturday, April 27, 2013A general model of human mate choice in which agents are localized in space, interact with close neighbors, and tend to range either near or far. At the individual level, our model uses two oft-used but incompletely understood decision rules: one based on preferences for similar partners, the other for maximally attractive partners.