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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Agent-Based Model for the Evolution of Ethnocentrism
Max Hartshorn | Published Saturday, March 24, 2012 | Last modified Saturday, April 27, 2013This is an implementation of an agent based model for the evolution of ethnocentrism. While based off a model published by Hammond and Axelrod (2006), the code has been modified to allow for a more fine-grained analysis of evolutionary dynamics.
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.
SpeciesWorld
Tony Lawson | Published Friday, March 16, 2012 | Last modified Saturday, April 27, 2013How can species evolve a cooperative network to keep the environment suitable for life?
Health and social public information office (SPUN) simulation
Emilio Sulis Manuela Vinai | Published Friday, November 06, 2015 | Last modified Saturday, November 07, 2015The program simulate the functioning of an italian health and social public information office (SPUN) on the basis of the real data collected in the first five years of functioning.
Spatiotemporal Visualization of Emotional and Emotional-related Mental States
Luis Macedo | Published Monday, November 07, 2011 | Last modified Saturday, April 27, 2013A system that receives from an agent-based social simulation the agent’s emotional data, their emotional-related data such as motivations and beliefs, as well as their location, and visualizes of all this information in a two dimensional map of the geographic region the agents inhabit as well as on graphs along the time dimension.
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.
Varying effects of connectivity and dispersal on interacting species dynamics
Kehinde Salau | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013An agent-based model of species interaction on fragmented landscape is developed to address the question, how do population levels of predators and prey react with respect to changes in the patch connectivity as well as changes in the sharpness of threshold dispersal?
ADAM: Agent-based Demand and Assignment Model
D Levinson | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.
PR-M: The Peer Review Model
Mario Paolucci Francisco Grimaldo | Published Sunday, November 10, 2013 | Last modified Wednesday, July 01, 2015This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.
A Multi-Agent Simulation Approach to Farmland Auction Markets
James Nolan | Published Wednesday, June 22, 2011 | Last modified Saturday, April 27, 2013This model explores the effects of agent interaction, information feedback, and adaptive learning in repeated auctions for farmland. It gathers information for three types of sealed-bid auctions, and one English auction and compares the auctions on the basis of several measures, including efficiency, price information revelation, and ability to handle repeated bidding and agent learning.
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