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.
TERRoir level Organic matter Interactions and Recycling model
Myriam Grillot | Published Wed Apr 19 14:33:44 2017 | Last modified Wed Jun 17 14:13:35 2020The TERROIR agent-based model was built for the multi-level analysis of biomass and nutrient flows within agro-sylvo-pastoral villages in West Africa. It explicitly takes into account both human organization and spatial extension of such flows.
Cliff Walking with Q-Learning NetLogo Extension
Kevin Kons Fernando Santos | Published Tue Dec 10 18:48:10 2019This model implements a classic scenario used in Reinforcement Learning problem, the “Cliff Walking Problem”. Consider the gridworld shown below (SUTTON; BARTO, 2018). This is a standard undiscounted, episodic task, with start and goal states, and the usual actions causing movement up, down, right, and left. Reward is -1 on all transitions except those into the region marked “The Cliff.” Stepping into this region incurs a reward of -100 and sends the agent instantly back to the start (SUTTON; BARTO, 2018).
The problem is solved in this model using the Q-Learning algorithm. The algorithm is implemented with the support of the NetLogo Q-Learning Extension
Food supply chain innovations under public pressure
Tim Verwaart Wil Hennen Jan Buurma | Published Fri Apr 15 20:30:05 2016 | Last modified Tue Nov 27 20:11:41 2018Aroused public opinion has led to public debates on social responsibility issues in food supply chains. This model based op opinion dynamics and the linkages between involved actors simulates the public debate leading to the transitions.
ACT: Agent-based model of Critical Transitions
Oscar Kraan Steven Dalderop Gert Jan Kramer Igor Nikolic | Published Wed Oct 18 14:20:29 2017 | Last modified Mon Aug 27 13:51:30 2018ACT is an ABM based on an existing conceptualisation of the concept of critical transitions applied to the energy transition. With the model we departed from the mean-field approach simulated relevant actor behaviour in the energy transition.
Multistate modeling extended by behavioral rules
Anna Klabunde Sabine Zinn Frans Willekens Matthias Leuchter | Published Wed Aug 3 20:19:13 2016 | Last modified Tue Mar 13 08:44:24 2018Toolkit to specify demographic multistate model with a behavioural element linking intentions to behaviour
One of four extensions to the standard Adder model that replicates the various interventions typically associated with transition experiments.
Product Diffusion Model in an Advance Selling Strategy
Peng Shao | Published Tue Mar 15 10:47:16 2016 | Last modified Tue Mar 15 10:53:00 2016the model can be used to describe the product diffusion in an Advance Selling Strategy. this model takes into account the consumers product adoption, and describe consumer’s online behavior based on four states.
(De-)Stabilising effect of diffusions
J Kasmire Bert Van Meeuwen Cornelis Eikelboom | Published Tue Aug 11 13:43:06 2015What is stable: the large but coordinated change during a diffusion or the small but constant and uncoordinated changes during a dynamic equilibrium? This agent-based model of a diffusion creates output that reveal insights for system stability.
This is one of four extensions to the standard Adder model that replicate the various interventions typical of transition experiments.
One of four extensions to the standard Adder model that replicates a common type of transition experiment.