A reimplementation of Schweitzer et al. 1996 as well as additional improvemnts for the Course Agent Based Modelling for Social Systems FS2023 ETH Zürich
AlexBocken
a5e03b38ac
Initial implementation of step() accoriding to the rules of Schweitzer et alii 1996. A few neighbor fetching functions are now implemented in agent.py. The MultiHexScalarFields implementation could be simplified as the ants only drop their pheromones in advance() and not step(), thus they do not interfere with each other. We might need to look at the concentration decay for the scalar fields again to correctly implement it. To me it is not clear whether we should decrease the pheromone levels before the ants step() or after the ants step() and before their advance() |
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| agent.py | ||
| LICENSE | ||
| main.py | ||
| model.py | ||
| multihex.py | ||
| README.md | ||
| shortlist.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