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Currently I have a stock of Grade 1 learners. The stock is arrayed so that Gr1_learners[..] = {10,10} means that there are 10 high performing learners and 10 low performing learners in this stock. These learners progress to Grade 2 so that Gr2_learners[..] = {20,0} are the first graders having progressed after one year and some intervention improved all the learners to high performing.

My idea is to create learners as agents and place them in the stocks. Then Gr1_learners = 20 is a stock with 20 agents, half in state high_performing, and half in state low_performing. They progress, a state change is triggered so that Gr2_learners = 20 is then a stock with 20 agents, all in state high_performing and none in state low_performing.

Is this possible?

Lieschen Venter
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Yes, by not using stocks at all. You are probably familiar with SD modelling and now see the benefit of agent-based modelling.

Go all in and model your agents. Instead of stocks, you use agent populations and make your agents change states.

See the agent example models, especially the SIR one (there is an SD version and an ABM version, great to see how you can model any SD model with agents)

But you cannot have agents inside SD stocks, they are not actual stocks but just mathematical equations :)

Benjamin
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