Grasshopper

algorithmic modeling for Rhino

Since I saw this simulation from David Reeves : https://vimeo.com/43714455 , I have been wanting to try and do something similar. I used the same reference as David did, however I didnt simplify the logic, which is why I get clusters of agents.

I will use this type of simulation for my diploma thesis at the School of Architecture in Aarhus, Denmark. The reason for the interest in this specific system, is that it works based on pheromones, where agents seek out higher pheromone concentrations, thereby giving a network that is based on use(i.e they follow each others trails.)

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Comment by Aleksander Dynarek on January 5, 2015 at 10:07am

how it was done? i understand the logic of the system but was software (gh, processing) did you use? and how did you implement pheromones? 

I am a big fan of you, David Reeves, and of swarm intelligence and I try to build slime mold in gh, but still, pheromones appear to be an obstacle

Comment by Jens Pedersen on November 4, 2013 at 2:11am

You are absolutely correct, and I will try to do just that. However everything is at the moment depending on how fast I can crank out the rest of my thesis project. Because the network and organization strategy in my project isnt the key aspect, which is unfortunate, but necessary at my school. Maybe I should mention, that I am using this strategy as a urban strategy for the relocation of climate refugees, to figure out how new settlements connect to eachother and already existing cities. Furthermore I will try to embed the agents with a cultural identity, making them seek out multiple goals, as you suggested. 

Comment by David Reeves on November 1, 2013 at 4:34pm

Very cool Jens.

Things get even more interesting when different groups of agents start seeking out specific pheromone concentrations or goals. Especially if that pheromone concentration differs from the one they lay down. Especially especially if that pheromone concentration is multidimensional, allowing more than one goal to be pursued at a time.

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