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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A multithreaded PPHPC replication in Java
Nuno Fachada | Published Saturday, October 31, 2015 | Last modified Tuesday, January 19, 2016A multithreaded replication of the PPHPC model in Java for testing different ABM parallelization strategies.
Micro-level Adaptation, Macro-level Selection, and the Dynamics of Market Partitioning
César García-Díaz | Published Monday, October 19, 2015 | Last modified Monday, October 19, 2015This model simulates the emergence of a dual market structure from firm-level interaction. Firms are profit-seeking, and demand is represented by a unimodal distribution of consumers along a set of taste positions.
Long Term Impacts of Bank Behavior on Financial Stability An Agent Based Modeling Approach
Ilker Arslan | Published Tuesday, October 13, 2015 | Last modified Monday, April 08, 2019This model simulates a bank - firm credit network.
Private forest owner management behavior using social interactions, information flow, and peer-to-peer n
Jessica Leahy Emily Silver Huff Aaron R Weiskittel Caroline L Noblet David Hiebeler | Published Tuesday, October 13, 2015This theoretical model includes forested polygons and three types of agents: forest landowners, foresters, and peer leaders. Agent rules and characteristics were parameterized from existing literature and an empirical survey of forest landowners.
SimDrink: An agent-based NetLogo model of young, heavy drinkers for conducting alcohol policy experiments
Nick Scott James Wilson Michael Livingston Aaron Hart David Moore Paul Dietze | Published Friday, September 25, 2015 | Last modified Thursday, October 15, 2015A proof-of-concept agent-based model ‘SimDrink’, which simulates a population of 18-25 year old heavy alcohol drinkers on a night out in Melbourne to provide a means for conducting policy experiments to inform policy decisions.
FlowLogo: An agent-based platform for simulating complex human-aquifer interactions in managed groundwater systems
Juan Castilla-Rho | Published Sunday, August 30, 2015FlowLogo integrates agent-based and groundwater flow simulation. It aims to simplify the process of developing participatory ABMs in the groundwater space and begin the exploration of novel, bottom-up solutions to conflicts in shared aquifers.
The purpose of this model is to enhance a basic ABM through a simple set of rules identified using the activity-driven models in order to produce more realistic patterns of pedestrian movement.
Generic servicising model (SPREE project)
Igor Nikolic Reinier Van Der Veen Kasper H Kisjes | Published Wednesday, August 26, 2015 | Last modified Wednesday, September 28, 2016This generic agent-based model allows the user to simulate and explore the influence of servicising policies on the uptake of servicising and on economic, environmental and social effects, notably absolute decoupling.
Peer reviewed PPHPC - Predator-Prey for High-Performance Computing
Nuno Fachada | Published Saturday, August 08, 2015 | Last modified Wednesday, November 25, 2015PPHPC is a conceptual model for studying and evaluating implementation strategies for spatial agent-based models (SABMs). It is a realization of a predator-prey dynamic system, and captures important SABMs characteristics.
Citation Agents: A model of collective learning through scientific publication
Christopher Watts | Published Friday, July 31, 2015Simulates the construction of scientific journal publications, including authors, references, contents and peer review. Also simulates collective learning on a fitness landscape. Described in: Watts, Christopher & Nigel Gilbert (forthcoming) “Does cumulative advantage affect collective learning in science? An agent-based simulation”, Scientometrics.
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