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.
Displaying 10 of 1143 results for "J A Cuesta" clear search
SimAdapt
François Rebaudo | Published Wednesday, August 29, 2012 | Last modified Monday, October 13, 2014SimAdapt: An individual-based genetic model for simulating landscape management impacts on populations
Interactions between organizations and social networks in common-pool resource governance
Phesi Project | Published Monday, October 29, 2012 | Last modified Saturday, April 27, 2013Explores how social networks affect implementation of institutional rules in a common pool resource.
Peer reviewed Ache hunting
Kim Hill Marco Janssen | Published Tuesday, August 13, 2013 | Last modified Friday, December 21, 2018Agent-based model of hunting behavior of Ache hunter-gatherers from Paraguay. We evaluate the effect of group size and cooperative hunting
Gunpowder battle tactics
Xavier Rubio-Campillo Jose María Cela Francesc Xavier Hernàndez | Published Wednesday, November 20, 2013 | Last modified Tuesday, November 26, 2013This model simulates the dynamics of eighteenth-century infantry battle tactics. The goal is to explore the effect of different tactics and individual traits in the dynamics of the combat.
An Agent-Based DSS for Word-of-Mouth Programs in Freemium Apps
Manuel Chica | Published Monday, September 05, 2016An agent-based framework that aggregates social network-level individual interactions to run targeting and rewarding programs for a freemium social app. Git source code in https://bitbucket.org/mchserrano/socialdynamicsfreemiumapps
Peer reviewed DogFoxCDVspillover
Aniruddha Belsare Matthew Gompper | Published Thursday, March 16, 2017 | Last modified Tuesday, April 04, 2017The purpose of this model is to better understand the dynamics of a multihost pathogen in two host system comprising of high densities of domestic hosts and sympatric wildlife hosts susceptible to the pathogen.
Hybrid Agent-Based and Equation Based Model for Infectious Disease Spread
Elizabeth Hunter Brian Mac Namee John Kelleher | Published Sunday, April 19, 2020Our model is hybrid agent-based and equation based model for human air-borne infectious diseases measles. It follows an SEIR (susceptible, exposed,infected, and recovered) type compartmental model with the agents moving be-tween the four state relating to infectiousness. However, the disease model canswitch back and forth between agent-based and equation based depending onthe number of infected agents. Our society model is specific using the datato create a realistic synthetic population for a county in Ireland. The modelincludes transportation with agents moving between their current location anddesired destination using predetermined destinations or destinations selectedusing a gravity model.
Stylized agricultural land-use model for resilience exploration
Patrick Bitterman | Published Tuesday, June 14, 2016 | Last modified Monday, April 08, 2019This model is a highly stylized land use model in the Clear Creek Watershed in Eastern Iowa, designed to illustrate the construction of stability landscapes within resilience theory.
Leviathan model and its approximation
Thibaut Roubin Guillaume Deffuant | Published Thursday, September 17, 2020 | Last modified Monday, September 06, 2021The model is based on the influence function of the Leviathan model (Deffuant, Carletti, Huet 2013 and Huet and Deffuant 2017). We aim at better explaining some patterns generated by this model, using a derived mathematical approximation of the evolution of the opinions averaged.
We consider agents having an opinion/esteem about each other and about themselves. During dyadic meetings, agents change their respective opinion about each other, and possibly about other agents they gossip about, with a noisy perception of the opinions of their interlocutor. Highly valued agents are more influential in such encounters.
We show that the inequality of reputations among agents have a negative effect on the opinions about the agents of low status.The mathematical analysis of the opinion dynamic shows that the lower the status of the agent, the more detrimental the interactions are for the opinions about this agent, especially when gossip is activated, while the interactions always tend to increase the opinions about agents of high status.
Emerging innovation niches model
Antonio Lopolito Richard Taylor Piergiuseppe Morone | Published Monday, September 22, 2014Objective of our model is to simulate the emergence and operation of a technological niches (TN) in terms of actors’ interaction. A TN can be conceived as protected socio-economic space where radical innovations are developed and tested
Displaying 10 of 1143 results for "J A Cuesta" clear search