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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
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Merge branch 'live_server_visualization' 
This merge implements server.py for a visualization of the model.

For this implementation the mesa-provided CanvasHexGrid class needed to
be adjusted. Mesa's own function runs a visualization function on all
agents. For us it would be smarter to run the visualization function on
all grid locations, this is what CanvasHexGridMultiAgents does.

For now, concentrations are normalized using magic numbers. In the
future it might be smarter to somehow dynamically adjust these
normalizisation numbers to not threshold our visualization.
2023-04-29 11:04:05 +02:00
agent.py added live-server visualization to project 2023-04-29 11:01:53 +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 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
README.md add server visualization to README 2023-04-29 11:02:55 +02:00
server.py added live-server visualization to project 2023-04-29 11:01:53 +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.