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 3 of 3 results african middle stone age clear search
Peer reviewed Applying Brantingham’s Neutral Model of Stone Raw Material Procurement to the Pinnacle Point Middle Stone Age Record, Western Cape, South Africa
Simen Oestmo Marco Janssen Haley Cawthra | Published Sunday, March 10, 2019This model is an application of Brantingham’s neutral model to a real landscape with real locations of potential sources. The sources are represented as their sizes during current conditions, and from marine geophysics surveys, and the agent starts at a random location in Mossel Bay Region (MBR) surrounding the Archaeological Pinnacle Point (PP) locality, Western Cape, South Africa. The agent moves at random on the landscape, picks up and discards raw materials based only upon space in toolkit and probability of discard. If the agent happens to encounter the PP locality while moving at random the agent may discard raw materials at it based on the discard probability.
Peer reviewed The Effect of Spatial Clustering on Stone Raw Material Procurement
Simen Oestmo Marco Janssen Curtis W Marean | Published Friday, April 21, 2017This model allows for the investigation of the effect spatial clustering of raw material sources has on the outcome of the neutral model of stone raw material procurement by Brantingham (2003).
An agent-based approach to weighted decision making in the spatially and temporally variable South African Paleoscape
Colin Wren | Published Thursday, December 29, 2016This model simulates a foraging system based on Middle Stone Age plant and shellfish foraging in South Africa.