These settings declare assumptions. They are not empirically fitted estimates.

A parameter distribution assigns different input values across synthetic agents. i

Correlated sampling allows declared parameters to vary together. i

A subgroup applies declared settings to part of a synthetic population. i

A sensitivity sweep repeats a design at different declared parameter values. i

Model comparison runs alternative policies under declared conditions. i

Replications repeat a configured experiment with separately derived random streams. i

Paired seeds reuse matched random draws across compared conditions; independent seeds draw separately. i

Softmax allows some randomness in choices: options with higher model value are more likely, but not certain, to be chosen. i

An observed share is the fraction of agents choosing an option in one saved simulation run. i

Provenance records the configuration and software identity associated with an execution. i