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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AlexBocken 85f9ecdaec
Merge branch 'implementations_tests'
We now have in main.py three functions to check theoretical decays vs
actual decays.
For this a custom testing environment is set up so no disruptions from
for example, finding a food source or an ant depositing pheromones on
the grid.

The functions are otherwise pretty self-explanatory:

    check_pheromone_exponential_decay()
    check_ant_sensitivity_linear_decay()
    check_ant_pheromone_exponential_decay()

Besides this, with this merge we also finally have an upper limit for
ants on the grid using the num_max_agents model variable to check before
new ants are generated.

any use of the word 'chemical' has been replaced by 'pheromone' for
consistency
2023-05-18 12:47:21 +02:00
agent.py add num_max_agents, cleanup 2023-05-18 12:46:48 +02:00
LICENSE Initial commit 2023-04-26 21:07:21 +02:00
main.py add num_max_agents, cleanup 2023-05-18 12:46:48 +02:00
model.py add num_max_agents, cleanup 2023-05-18 12:46:48 +02:00
multihex.py fix Grace's name 2023-05-17 15:57:23 +02:00
README.md add server visualization to README 2023-04-29 11:02:55 +02:00
server.py add num_max_agents, cleanup 2023-05-18 12:46:48 +02:00
shortlist.md add initial project files 2023-04-26 23:45:14 +02:00

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.