There are a few parameters we can control in the slimemold model. The main ones are: 1. Density of Slimes 2. How much pheromone they drop 3. Diffusion/Evaporation Rate of the pheromone 4. Pheromone Detection These all result in different outcomes.
-
-
এই থ্রেডটি দেখান
-
For example, if you increase the density, you end up with world filled with pheromones very quickly. But the model eventually starts to converge to aggregation.pic.twitter.com/FYRr0NAaB9
এই থ্রেডটি দেখান -
Aggregation is however very sensitive to the density of pheromone. At half strength, aggregation still happens, but the clusters are much smaller. Any lower and aggregation stops.pic.twitter.com/8dcMXPcXnR
এই থ্রেডটি দেখান -
Interestingly the same result happens when you *increase* the ability of the slimemolds to sense pheromone - the better sensing leads to smaller clusters as they are better able to follow the gradient of it.
এই থ্রেডটি দেখান -
Finally, if you decrease the rate of evaporation you end up with a very pheromone filled screen, with what seem to be big clusters but are actually much smaller clusters, trapped by the pheromone.pic.twitter.com/iwx39vXOC0
এই থ্রেডটি দেখান -
I really like the slimemold system because it is one of the simplest decentralized systems you can model while being complicated enough to encourage thinking about how model parameters change they outcome.
এই থ্রেডটি দেখান -
I hope you are all enjoying "Sarah explains the simple decentralized model systems that she learned about when she was 15 and which inspired her forever after" because it's pretty therapeutic and there will be more of it.
এই থ্রেডটি দেখান
কথা-বার্তা শেষ
নতুন কথা-বার্তা -
লোড হতে বেশ কিছুক্ষণ সময় নিচ্ছে।
টুইটার তার ক্ষমতার বাইরে চলে গেছে বা কোনো সাময়িক সমস্যার সম্মুখীন হয়েছে আবার চেষ্টা করুন বা আরও তথ্যের জন্য টুইটারের স্থিতি দেখুন।