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 90 results landscape clear search
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.
The Geography of Conflict Diamonds: The Case of Sierra Leone
Andrew Crooks Bianica Pires | Published Thursday, March 24, 2016 | Last modified Thursday, March 24, 2016Using Sierra Leone as a test case, the purpose of the model is to explore the role of geography in a resource-driven war. An ABM is integrated with geographic information systems (GIS) for this purpose.
Charcoal Record Simulation Model (CharRec)
Grant Snitker | Published Monday, November 16, 2015 | Last modified Thursday, September 30, 2021This model (CharRec) creates simulated charcoal records, based on differing natural and anthropogenic patterns of ignitions, charcoal dispersion, and deposition.
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.
REHAB: A Role Playing Game to Explore the Influence of Knowledge and Communication on Natural Resources Management
Christophe Le Page Anne Dray Pascal Perez Claude Garcia | Published Monday, July 13, 2015 | Last modified Monday, July 13, 2015REHAB has been designed as an ice-breaker in courses dealing with ecosystem management and participatory modelling. It helps introducing the two main tools used by the Companion Modelling approach, namely role-playing games and agent-based models.
MedLanD Modeling Laboratory
C Michael Barton Sean Bergin Isaac Ullah Gary Mayer Hessam Sarjoughian Helena Mitasova | Published Friday, May 08, 2015 | Last modified Thursday, December 14, 2017The MML is a hybrid modeling environment that couples an agent-based model of small-holder agropastoral households and a cellular landscape evolution model that simulates changes in erosion/deposition, soils, and vegetation.
Peer reviewed Lithic Raw Material Procurement and Provisioning
Jonathan Paige | Published Friday, March 06, 2015 | Last modified Thursday, March 12, 2015This model simulates the lithic raw material use and provisioning behavior of a group that inhabits a permanent base camp, and uses stone tools.
A simplified Arthur & Polak logic circuit model of combinatory technology build-out via incremental development. Only some inventions trigger radical effects, suggesting they depend on whole interdependent systems rather than specific innovations.
The MOBILITY model analyzes how agents’ mobility affects the performance of social-ecological systems in different landscape configurations.
IDEAL
Arika Ligmann-Zielinska | Published Thursday, August 07, 2014IDEAL: Agent-Based Model of Residential Land Use Change where the choice of new residential development in based on the Ideal-point decision rule.
Displaying 10 of 90 results landscape clear search