This research presents a structure based on tabletop roleplaying forcreating better computational models for simulating active-shooterevents. Active-shooter events involve one or more people activelytrying to kill others inside a populated and confined area.Roleplaying is the act of human participants portraying characters ina simulated environment. Roleplaying can be used for serious purposes,such as simulating real world events. Tabletop roleplaying adds mapsand figures to show direction and relative positions of individualsand objects. These types of simulations are particularly beneficialwhen the real events occur infrequently or would be dangerous orcostly to simulate with other methods. Versions of these simulationscan include attributes for the human characters portrayed in thesimulation. Attributes are quantified variables to distinguishdifferences between individuals, such as differences in size orathletic ability. These attributes can also include cognitiveabilities and personality traits. A tabletop roleplaying structure wasdesigned based on knowledge from multiple scientific fields. Thisstructure determines the options and outcomes of actions attempted bycharacters in the simulated world. Data generated by this tabletoproleplaying structure are closer to data from actual active-shooterevents than data from current AI (artificial intelligence)computational models. This is further improved when scientificallybased attributes are incorporated. This tabletop roleplaying structureis defined in formulaic ways with quantified variables to be atemplate for creating more accurate computational models designed tosimulate active-shooter events.