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 7 of 7 results for "Felix Nitsch" clear search
Agent-Based Computational Modeling of Cryptocurrency Design
Felix Ude | Published Friday, June 28, 2019Agent-Based Computational Model of the cryptocurrency Bitcoin with a realistic market and transaction system. Bitcoin’s transaction limit (i.e. block size) and Bitcoin generation can be calibrated and optimized for wealth and network’s hashing power by the Non-Dominated Sorted Genetic Algorithm - II.
DITCH --- A Model of Inter-Ethnic Partnership Formation
Ruth Meyer Laurence Lessard-Phillips Huw Vasey | Published Wednesday, November 05, 2014 | Last modified Tuesday, February 02, 2016The DITCH model has been developed to investigate partner selection processes, focusing on individual preferences, opportunities for contact, and group size to uncover how these may lead to differential rates of inter-ethnic marriage.
PopComp
Andre Costopoulos | Published Thursday, December 10, 2020PopComp by Andre Costopoulos 2020
andre.costopoulos@ualberta.ca
Licence: DWYWWI (Do whatever you want with it)
I use Netlogo to build a simple environmental change and population expansion and diffusion model. Patches have a carrying capacity and can host two kinds of populations (APop and BPop). Each time step, the carrying capacity of each patch has a given probability of increasing or decreasing up to a maximum proportion.
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AMIRIS
Kristina Nienhaus Christoph Schimeczek Ulrich Frey Evelyn Sperber Seyedfarzad Sarfarazi Felix Nitsch Johannes Kochems Aboubakr Achraf El Ghazi | Published Thursday, February 03, 2022AMIRIS is the Agent-based Market model for the Investigation of Renewable and Integrated energy Systems.
It is an agent-based simulation of electricity markets and their actors.
AMIRIS enables researches to analyse and evaluate energy policy instruments and their impact on the actors involved in the simulation context.
Different prototypical agents on the electricity market interact with each other, each employing complex decision strategies.
AMIRIS allows to calculate the impact of policy instruments on economic performance of power plant operators and marketers.
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Peer reviewed Routes & Rumours 0.1.1
Martin Hinsch Jakub Bijak Oliver Reinhardt | Published Tuesday, July 12, 2022Routes & Rumours is an agent-based model of (forced) human migration. We model the formation of migration routes under the assumption that migrants have limited geographical knowledge concerning the transit area and rely to a large degree on information obtained from other migrants.
Livestock drought insurance model
Felix John Birgit Müller Russell Toth Karin Frank Jürgen Groeneveld | Published Tuesday, December 19, 2017 | Last modified Saturday, April 14, 2018The model analyzes the economic and ecological effects of a provision of livestock drought insurance for dryland pastoralists. More precisely, it yields qualitative insights into how long-term herd and pasture dynamics change through insurance.
NeoCOOP: The Neolithic Cooperation Model
Brandon Gower-Winter | Published Saturday, February 11, 2023NeoCOOP is an iteration-based ABM that uses Reinforcement Learning and Artificial Evolution as adaptive-mechanisms to simulate the emergence of resource trading beliefs among Neolithic-inspired households.