Good day,
I am creating a supply chain simulation with NetLogo. I am putting a list of lists from NetLogo to R, which is represented by distributor ID (agents who) and sales history (sales of all previous ticks). In R I train my neural network and make predictions. When I put back the answer in the same format list of lists. I need to specify which result goes to which agent. However, I do not know how to do it in NetLogo. I assume that there should be a function to do that, but as I understand the functions are programmed with Java and I would need to assign the values inside the raw code and not in the NetLogo environment. Moreover, I think that this training and predictions occurs multiple times (for each agent) and not only once. Variable example: [ [0] [ 100 200 300 100 200] ] [ [1] [ 200 300 100 100 200] ] Where the first index is agents who index and the second is the agent's sales history. Maybe someone could explain how NetLogo and R can be combined for computational purpose and not only statistical analysis and plotting? I assume that NetLogo is similar to parallel programming, while my style of R programming is more linear. -- You received this message because you are subscribed to the Google Groups "netlogo-devel" group. To unsubscribe from this group and stop receiving emails from it, send an email to netlogo-devel+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
