Continuing Play from a System State

Fig. 1 Shows the result of an initial setup of a toy world. It is based on choices and assumptions: geographically ordered patches of land over which pawns (representing actors) are scattered in a way that creates “urban” and “rural” traffic infrastructures.

The underlying idea is that from this base layer for agents and their physical locations and transport options, we can create new, rule-based networks that show group formation and group behavior. The rules realize the theories that whoever plays with the toy world considers important. By the way, it is also necessary to consider when the toy world has reached a situation that conforms to the image that Hobbes characterized as natural.

But that will take a while. Mr. Node (who has plenty of time during the COVID days and who has to fix it all) thinks that some practical problems must first be solved. As things stand, he cannot log the situation in Fig. 1 (which has been reached with stochastic means) in a way that allows him to name and use it as the initial situation in a next session. That has to be solved first.