1) The document describes a simulation study comparing norm recognizers and social conformers in different contexts. Norm recognizers form beliefs about appropriate actions based on observing others, while social conformers simply imitate the most frequent action.
2) In the simulation, social conformers show no emergent patterns over time, while norm recognizers begin to converge on common actions across contexts after 60 ticks as norms spread through their normative beliefs.
3) The introduction of a physical barrier between contexts at a certain tick allows different norms to emerge in isolated sub-populations, demonstrating norm innovation.
The moduel includes a ltm and a wm. In the ltm, norms are archived once nbels got formed. The wm is a 2layers architecture, where new inputs are elaborated. So anytime a new input vector arrives, if it is a D or V, it will access the wm at the 2 layer, and a N-bel is formed. If not, but it has already been ancountered as a D or V, it will access the wm at the first florr. If not, it is matched with the NB and if…, otherwise it is discarded. This architectire allows us to treat the gradual formation of beliefs. If , within a certain time periodo, the CNB is not strengthened by new inputs (N-threshold), it will exit the wm, otherwise a fullfledged Nbel is formed and archived.
