About the CoMSES Model Library more info
CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed 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 archive tutorial or contact us if you have any questions or concerns about archiving your model.
CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Knowledge Sharing in a Hospital
bpint Emily Molfino Joshua Goldstein Kathryn Schaefer Ziemer Mark Orr Bryan Lewis Jose Jimenez | Published Fri Jan 27 22:29:04 2023Organizations are complex systems comprised of many dynamic and evolving interaction patterns among individuals and groups. Understanding these interactions and how patterns, such as informal structures and knowledge sharing behavior, emerge are crucial to creating effective and efficient organizations. To explore such organizational dynamics, the agent-based model integrates a cognitive model, dynamic social networks, and a physical environment.
Individual-based modelling as a tool for elephant poaching mitigation
Emily Neil Jens Koed Madsen Ernesto Carrella Nicolas Payette Richard Bailey | Published Tue Jun 18 14:07:24 2019 | Last modified Thu Aug 1 17:17:31 2019We develop an IBM that predicts how interactions between elephants, poachers, and law enforcement affect poaching levels within a virtual protected area. The model is theoretical at this stage and is not meant to provide a realistic depiction of poaching, but instead to demonstrate how IBMs can expand upon the existing modelling work done in this field, and to provide a framework for future research. The model could be further developed into a useful management support tool to predict the outcomes of various poaching mitigation strategies at real-world locations. The model was implemented in NetLogo version 6.1.0.
We first compared a scenario in which poachers have prescribed, non-adaptive decision-making and move randomly across the landscape, to one in which poachers adaptively respond to their memories of elephant locations and where other poachers have been caught by law enforcement. We then compare a situation in which ranger effort is distributed unevenly across the protected area to one in which rangers patrol by adaptively following elephant matriarchal herds.
Carington
William Kennedy Emily S Ihara Catherine J Tompkins Michael E Wolf-Branigin | Published Thu Jul 13 13:25:21 2017The Carington model is designed to provide insights into the factors affecting informal health care for older adults. It encompasses older adults, caregivers, and factors affecting informal health care. The Carington model includes no submodels.
Private forest owner management behavior using social interactions, information flow, and peer-to-peer n
Emily Silver Huff Jessica Leahy Aaron R Weiskittel Caroline L Noblet David Hiebeler | Published Tue Oct 13 17:00:49 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.
Influence with over-confident agents
Juliette Rouchier Emily Tanimura | Published Wed Oct 21 15:01:33 2015Agents can influence each other if they are close enough in knowledge. The probability to convince with good knowledge and number of agents have an impact on the dissemination of knowledge.