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AlexBocken fb1c8f5797

Combine resistance and sensitivity/alpha

2023-06-26 15:54:22 +02:00

agent.py

Combine resistance and sensitivity/alpha

2023-06-26 15:54:22 +02:00

hexplot.py

General Debugging. Moved to nomenclature from paper for ease of

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LICENSE

Initial commit

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main.py

Combine resistance and sensitivity/alpha

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model.py

Combine resistance and sensitivity/alpha

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multihex.py

General Debugging. Moved to nomenclature from paper for ease of

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README.md

add server visualization to README

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server.py

General Debugging. Moved to nomenclature from paper for ease of

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shortlist.md

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README.md

ants

A reimplementation of Schweitzer et al. 1996 as well as additional improvemnts for the Course Agent Based Modelling for Social Systems FS2023 ETH Zürich

For the course Agent Based Modelling for Social Systems FS2023 we were tasked to implement a model of our own (in groups). For this, we decided to implement an enhanced version of Active random walkers simulate trunk trail formation by ants (Schweitzer et al. 1996) using Python and Mesa.

For now, wanted features can be found in our shortlist. For everything else start at main py

For a live visualization of the project you can execute server.py.