click image to view video

base model:
1.start configuration: a number of seed cells and number of agent cells
2. each agents cell move randomly in the environment
3. until it finds a neighboring seed cell where it “deposits” a new seed cell
4. agents are kept after “depositing”, loop 2-4

base model wtih probability:
3. until it finds a neighboring seed cell, if it meets the probability condition “deposits” a new seed cell with inherit threshold for probability check

base model wtih probability with influence (shown in video):
1.start configuration: a number of seed cells and number of agent cells and a influence value layer (i.e. mesh with attractors)
3. until it finds a neighboring seed cell, if it meets the probability condition “deposits” a new seed cell with inherit threshold for probability check with adjustments from influence value obtained from a mesh in the model shown above