Dealing with Software Complexity in Individual‐Based Models

Daniel Vedder, Markus Ankenbrand, Juliano Sarmento Cabral
2021 Methods in Ecology and Evolution  
After a slow start in the 1980s, individual-based models (IBMs, also known as agent-based models or mechanistic simulation models) have found growing acceptance as a tool of ecological research (DeAngelis & Grimm, 2014; Grimm & Railsback, 2005) . Over the past decade, they have been continuously expanded to simulate increasingly complex macroecological (e.g. Cabral &
doi:10.1111/2041-210x.13716 fatcat:a2fnfvhuijbp5m664liffrxnvy