Foragax is an Agent Based Modelling (ABM) package based on JAX. It provides scalable and efficient ABM simulations by leveraging JAX's automatic vectorization and just-in-time compilation capabilities. The main features of Foragax include:
- Agent manipulation (adding, removing, updating, selecting, and sorting agents) with just-in-time compilation.
- Vectorized ray-casting and wall-detection for simulating agents moving in a continuous 2D environment with custom boundaries and obstacles.
- Tutorials and examples to help users get started with ABM using JAX.
- Familiar ABM interface for creating and manipulating agents.
Installation
pip install foragax
Requires Python 3.10+, JAX 0.4.13+, and flax 0.7.4+
Citation
If this framework was useful in your work, please consider starring and cite: (arXiv link)
@misc{chaturvedi2024foragaxagentbasedmodelling,
title={Foragax: An Agent Based Modelling framework based on JAX},
author={Siddharth Chaturvedi and Ahmed El-Gazzar and Marcel van Gerven},
year={2024},
eprint={2409.06345},
archivePrefix={arXiv},
primaryClass={cs.MA},
url={https://arxiv.org/abs/2409.06345},
}
Metadata
Release files for foragax 0.0.5
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| foragax-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.4 kB
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