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 358 results for "Tim Gooding" clear search
Within the archeological record for Bronze Age Chinese culture, there continues to be a gap in our understanding of the sudden rise of the Erlitou State from the previous late Longshan chiefdoms. In order to examine this period, I developed and used an agent-based model (ABM) to explore possible socio-politically relevant hypotheses for the gap between the demise of the late Longshan cultures and rise of the first state level society in East Asia. I tested land use strategy making and collective action in response to drought and flooding scenarios, the two plausible environmental hazards at that time. The model results show cases of emergent behavior where an increase in social complexity could have been experienced if a catastrophic event occurred while the population was sufficiently prepared for a different catastrophe, suggesting a plausible lead for future research into determining the life of the time period.
The ABM published here was originally developed in 2016 and its results published in the Proceedings of the 2017 Winter Simulation Conference.
The code for the paper “Social norms and the dominance of Low-doers”
This is a model of a community of online communities. Using mechanisms such as win-stay, lose-shift, and preferential attachment the model can reproduce similar patterns to those of the Stack Exchange network.
A model that strips trade down to its core to explore foundational emergent behaviour and evolution in trade systems.
This is the Toy Trader but with two additional goods being traded.
This model reproduces the double auction experiments and explores the difference between short-term and long-term trading and pricing.
This model test the efficiency of the market economy in comparison with a hunter/gatherer economy. It also compares the model outcomes between a market economy when using eternal agents with one using mortal agents.
This is a modification of the RobbyGA model by the Santa Fe Institute (see model Info tab for full information). The basic idea is that the GA has been changed to one where the agents have a set lifetime, anyone can reproduce with anyone, but where there is a user-set amount of ‘starvation’ that kills the agents that have a too low fitness.
This model is a modification of Metaphoria 2019, where the monetary system can be run with agents that do not die, but their characteristics are mutated as they are in the mortal population.
This is a modification of Metaphoria 2019 so that the eternal population is subjected to all the evolutionary forces as the mortal population.
Displaying 10 of 358 results for "Tim Gooding" clear search