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 948 results for "Rolf Anker Ims" clear search
Diffusion of Eco-Innovation through Inter-firm Network Targeting: An Agent-Based Model
Shyaam Ramkumar Flaminio Squazzoni apyka Matthias Mueller | Published Monday, January 10, 2022This model is developed as a theoretical agent-based model to study the general phenomena of network-based targeting strategies on eco-innovation adoption and diffusion through inter-firm networks.
Peer reviewed INOvPOP
Aniruddha Belsare | Published Wednesday, June 01, 2022 | Last modified Wednesday, July 10, 2024INOvPOP is designed to simulate population dynamics (abundance, sex-age composition and distribution in the landscape) of white-tailed deer (Odocoileus virginianus) for selected Indiana counties. Updated for netLogo 6.4.0
Individual bias and organizational objectivity
Bo Xu | Published Monday, April 15, 2013 | Last modified Monday, April 08, 2019This model introduces individual bias to the model of exploration and exploitation, simulates knowledge diffusion within organizations, aiming to investigate the effect of individual bias and other related factors on organizational objectivity.
An Agent-Based School Choice Matching Model
Connie Wang Weikai Chen Shu-Heng Chen | Published Sunday, February 01, 2015 | Last modified Wednesday, March 06, 2019This model is to simulate and compare the admission effects of 3 school matching mechanisms, serial dictatorship, Boston mechanism, and Chinese Parallel, under different settings of information released.
Effective population size and cultural evolution
Luke Premo | Published Tuesday, May 17, 2016This model illustrates how the effective population size and the rate of change in mean skill level of a cultural trait are affected by the presence of natural selection and/or the cultural transmission mechanism by which it is passed.
04 TpLab V2.08 – Teleological Pruning Laboratory
Garvin Boyle | Published Saturday, April 15, 2017Our societal belief systems are pruned by evolution, informing our unsustainable economies. This is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
Ger Grouper
Stefani Crabtree | Published Tuesday, January 05, 2021A “Ger” is a yurt style house used by pastoralists in Mongolia. This model simulates seasonal movements, fission/fusion dynamics, social interaction between households and how these relate to climate impacts.
Space colonization
allagonne | Published Wednesday, January 05, 2022Agent-Based-Modeling - space colonization
ask me for the .nlogo model
WHAT IS IT?
The goal of this project is to simulate with NetLogo (v6.2) a space colonization of humans, starting from Earth, into the Milky Way.
HOW IT WORKS
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Linear Threshold
Kaushik Sarkar | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013NetLogo implementation of Linear Threshold model of influence propagation.
NetLogo-R-Example for the Inititialisation of Agents with Correlated Random Numbers
Danilo Saft | Published Friday, February 14, 2014 | Last modified Monday, April 08, 2019This is a short NetLogo example demonstrating how to initialize 500 agents with 4 correlated parameters each with random values by doing the necessary calculations in the program “R” and retrieving the results.
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