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.
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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 5 of 65 results for 'Alistair G Sutcliffe'
The set of models test how receivers ability to accurately rank signalers under various ecological and behavioral contexts.
In this model, we simulate the navigation behavior of homing pigeons. Specifically we use genetic algorithms to optimize the navigation and flocking parameters of pigeon agents.
We provide a full description of the model following the ODD protocol (Grimm et al. 2010) in the attached document. The model is developed in NetLogo 5.0 (Wilenski 1999).
This is a social trust model for investigating the social relationships and social networks in the real world and in social media.
This model represents the flight paths of a flock of homing pigeons according to their flocking-, orientation- and leadership behaviour.
Displaying 5 of 65 results for 'Alistair G Sutcliffe'