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 77 results knowledge clear search
01b ModEco NLG V1.39 – Model Economies – The PMM
Garvin Boyle | Published Friday, April 14, 2017It is very difficult to model a sustainable intergenerational biophysical/financial economy. ModEco NLG is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
Success bias imitation increases the probability of effectively dealing with ecological disturbances
Jacopo A. Baggio Vicken Hillis | Published Thursday, April 13, 2017 | Last modified Thursday, August 02, 2018This model aims to investigate how different type of learning (social system) and disturbance specific attributes (ecological system) influence adoption of treatment strategies to treat the effects of ecological disturbances.
LBD Model: Learning-by-doing for sustainable management of renewable resources
Emilie Lindkvist Örjan Ekeberg Jon Norberg | Published Thursday, March 09, 2017This is a simulation model of an intelligent agent that has the objective to learn sustainable management of a renewable resource, such as a fish stock.
Peer reviewed CHIME ABM Hurricane Evacuation Model
Joshua Watts | Published Friday, March 03, 2017 | Last modified Wednesday, May 29, 2019The CHIME ABM explores information distribution networks and agents’ protective decision making in the context of hurricane landfall.
Resource distribution effects on optimal foraging theory
Marco Janssen Kim Hill | Published Friday, January 27, 2017The original Ache model is used to explore different distributions of resources on the landscape and it’s effect on optimal strategies of the camps on hunting and camp movement.
Peer reviewed AgentEx
Nanda Wijermans Maja Schlüter Caroline Schill Therese Lindahl | Published Sunday, November 13, 2016AgentEx aims to advance understanding of group processes for sustainable management of a common pool resource (CPR). By supporting the development and test explanations of cooperation and sustainable exploitation.
Kulayinjana
Christophe Le Page Arthur Perrotton Michel De Garine-Wichatitsky Barry Bitu Killion Koyisi Ferdinand Mwamba Cephus Ncube Victor Ncube Siphusisiwe Ndlovu Raphael Ngwenya Ambu Nyathi Fumbane Nyathi Patrick Sibanda Zenzo Sibanda | Published Monday, October 03, 2016a computer-based role-playing game simulating the interactions between farming activities, livestock herding and wildlife in a virtual landscape reproducing local socioecological dynamics at the periphery of Hwange National Park (Zimbabwe).
A Consumer in the Jungle of Product Differentiation
Alessandro Pluchino Andrea Rapisarda Alessio Emanuele Biondo Alfio Giarlotta | Published Tuesday, December 22, 2015Building upon the distance-based Hotelling’s differentiation idea, we describe the behavioral experience of several prototypes of consumers, who walk a hypothetical cognitive path in an attempt to maximize their satisfaction.
Influence with over-confident agents
Juliette Rouchier Emily Tanimura | Published Wednesday, October 21, 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.
Inquisitiveness in ad hoc teams
Davide Secchi | Published Sunday, October 18, 2015 | Last modified Thursday, June 11, 2020This model builds on inquisitiveness as a key individual disposition to expand the bounds of their rationality. It represents a system where teams are formed around problems and inquisitive agents integrate competencies to find ‘emergent’ solutions.
Displaying 10 of 77 results knowledge clear search