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 for "Eckehard Olbrich" clear search

Peter Diamond's Coconut Model (Heterogeneity and Learning)

Sven Banisch Eckehard Olbrich | Published Monday, May 30, 2016

Agent-based version of the simple search and barter economy conceived by Peter Diamond in 1982. The model is also known as Coconut Model.

WEEM (Woodlot Establishment and Expansion Model)

Vianny Ahimbisibwe Jürgen Groeneveld Melvin Lippe Susan Balaba Tumwebaze Eckhard Auch Uta Berger | Published Monday, September 27, 2021

The agent-based model WEEM (Woodlot Establishment and Expansion Model) as described in the journal article, has been designed to make use of household socio-demographics (household status, birth, and death events of households), to better understand the temporal dynamics of woodlot in the buffer zones of Budongo protected forest reserve, Masindi district, Uganda. The results contribute to a mechanistic understanding of what determines the current gap between intention and actual behavior in forest land restoration at farm level.

AMIRIS

Kristina Nienhaus Christoph Schimeczek Ulrich Frey Evelyn Sperber Seyedfarzad Sarfarazi Felix Nitsch Johannes Kochems Aboubakr Achraf El Ghazi | Published Thursday, February 03, 2022

AMIRIS 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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