Hello Stephen,
sure the code is available. Actually it is quite straightforward if people
like to recreate the simulation.
you just need to program finite automata to print out strategy and let
those strategies match up and look for points after each match up.

The population of automata then evolve in a differential equation style. so
the population moves a little closer to strategies that scores more.
after a long time of evolution, the population might settle down in an
equilibrium point. since the algrorithm is stochastic, after a while, the
population can move out of that equilibrium and on the way to another
(might be better) one

let me know if that clarifies
cheers

Vào 23:59, T.4, 22 Th12, 2021 Stephen De Gabrielle <spdegabrie...@gmail.com>
đã viết:

> Hi
>
> is the code available ?
>
> https://github.com/ayaderaghul
>
> s.
>
>
> On Tue, Dec 21, 2021 at 9:59 PM Linh Chi Nguyen <nguyenlinhch...@gmail.com>
> wrote:
>
>> Hey,
>>
>> all the simulations for my paper (published in Bio-inspired EAI
>> International Conference 2016) back then when I was a first year graduate
>> student are in Racket ! This morning I discover that it has 624 downloads
>> and counting. I am so proud of my graduate time <3
>>
>> https://eudl.eu/doi/10.4108/eai.3-12-2015.2262403
>>
>> Have fun and keep inspiring <3
>>
>> regards,
>>
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