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A reimplementation of Schweitzer et al. 1996 as well as additional improvemnts for the Course Agent Based Modelling for Social Systems FS2023 ETH Zürich
14 Commits 2 Branches 0 Tags 119 KiB
Python 100%
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AlexBocken ecb9cc26e9
dynamic normalization for pheromones
2023-05-11 17:57:39 +02:00
agent.py more step and sensitivity improvements following Schweitzer et al. 1997) 2023-05-11 16:45:55 +02:00
LICENSE Initial commit 2023-04-26 21:07:21 +02:00
main.py implement agent.step() and simplify scalar fields 2023-04-28 19:10:33 +02:00
model.py add food and nestfinding behaviour on step function 2023-05-07 15:24:27 +02:00
multihex.py add food and nestfinding behaviour on step function 2023-05-07 15:24:27 +02:00
README.md add server visualization to README 2023-04-29 11:02:55 +02:00
server.py dynamic normalization for pheromones 2023-05-11 17:57:39 +02:00
shortlist.md add initial project files 2023-04-26 23:45:14 +02:00

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.