In the world of computational archaeology the technical hurdle is a significant deterrent for many. I hear quite often fellow archaeologists complaining that ‘an ABM would really complement my research, but I cannot code in Python and don’t have the time to learn it’. Time needed to learn new software or programming language never seems to be there and many great ideas are put on the back burner indefinitely simply because they cannot be implemented in an environment one is already familiar with.
Now, thanks to our fellow blogger and complexity scientist Marco Smolla, you can learn how to build an agent-based model in one of the most popular scripting languages in archaeology: R! Follow this link for a tutorial which will allow you to turn your data analysis environment into a simulation tool. Nice!