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 10 of 434 results simulation clear search
HMODEL: an exploratory simulation of surface archaeological formation
Benjamin Davies Simon Holdaway Patricia Fanning | Published Thursday, November 30, 2017This model is used to simulate the influence of spatially and temporally variable sedimentary processes on the distribution of dated archaeological features in a surface context.
Viticulture development in emerging markets: Małopolska region
Marcin Czupryna Bogumił Kamiński Paweł Oleksy Piotr Przybek | Published Tuesday, November 28, 2017 | Last modified Saturday, June 16, 2018Model explains both the final state and the dynamics of the development process of the wine sector in the Małopolska region in Poland. Model admits heterogeneous agents (regular farms,large and small vineyards).
Dynamic pricing strategies for perishable products in a competitive multi-agent retailer market
Wenchong Chen Hongwei Liu | Published Monday, November 27, 2017 | Last modified Thursday, March 01, 2018This model explores a price Q-learning mechanism for perishable products that considers uncertain demand and customer preferences in a competitive multi-agent retailer market (a model-free environment).
ED simulation
Emilio Sulis | Published Sunday, October 15, 2017The functioning of an hospital ED. The use case concerns an hospital in Italy which is moving in a new building. Simulations interest both new and old department, to investigate changes by exploring KPIs.
Demand Planning Model
Iris Lorscheid Jonas Hauke Matthias Meyer | Published Wednesday, October 04, 2017Demand planning requires processing of distributed information. In this process, individuals, their properties and interactions play a crucial role. This model is a computational testbed to investigate these aspects with respect to forecast accuracy.
The Cardial Spread Model
Sean Bergin | Published Friday, September 29, 2017 | Last modified Monday, February 04, 2019The purpose of this model is to provide a platform to test and compare four conceptual models have been proposed to explain the spread of the Impresso-Cardial Neolithic in the west Mediterranean.
Impact of topography and climate change on Magdalenian social networks
Claudine Gravel-Miguel | Published Monday, September 11, 2017The model presented here was created as part of my dissertation. It aims to study the impacts of topography and climate change on prehistoric networks, with a focus on the Magdalenian, which is dated to between 20 and 14,000 years ago.
Sorghum supply development in Meru County, Kenya
Tim Verwaart Coen Van Wagenberg | Published Wednesday, September 06, 2017 | Last modified Thursday, May 30, 2019Trust between farmers and processors is a key factor in developing stable supply chains including “bottom of the pyramid”, small-scale farmers. This simulation studies a case with 10000 farmers.
Simulation of the Effects of Disorganization on Goals and Problem Solving
Dinuka Herath | Published Sunday, August 13, 2017 | Last modified Sunday, August 13, 2017This is a model of the occurrence of disorganization and its impact on individual goal setting and problem-solving. This model therefore, explores the effects of disorganization on goal achievement.
The Li-BIM model aims at simulating the behavior of occupants in a building. It is structured around the numerical modeling of the building (IFC format) and a BDI cognitive architecture. The model has been implemented under the GAMA platform.
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