A reimplementation of Schweitzer et al. 1996 as well as additional improvemnts for the Course Agent Based Modelling for Social Systems FS2023 ETH Zürich
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Previously nothign was displayed if value > normalization.
Now just clips at max value.
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agent.py added live-server visualization to project 2023-04-29 11:01:53 +02:00
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main.py implement agent.step() and simplify scalar fields 2023-04-28 19:10:33 +02:00
model.py added live-server visualization to project 2023-04-29 11:01:53 +02:00
multihex.py implement agent.step() and simplify scalar fields 2023-04-28 19:10:33 +02:00
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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.