▁method ologies . ▁ ▁Ro le ▁and ▁place ▁in ▁decision ▁theory ▁▁ ▁Info - g ap ▁is ▁em ph atic ▁about ▁its ▁adv ancement ▁of ▁the ▁state ▁of ▁the ▁art ▁in ▁decision ▁theory ▁( color ▁is ▁used ▁here ▁for ▁emphas is ): ▁Info - g ap ▁decision ▁theory ▁is ▁rad ically ▁different ▁from ▁all ▁current ▁theories ▁of ▁decision ▁under ▁uncertainty . ▁The ▁difference ▁origin ates ▁in ▁the ▁mod elling ▁of ▁uncertainty ▁as ▁an ▁information ▁gap ▁rather ▁than ▁as ▁a ▁probability . ▁ ▁Ben - Ha im ▁( 2 0 0 6 , ▁p . x ii ) ▁ ▁In ▁this ▁book ▁we ▁concent rate ▁on ▁the ▁fairly ▁new ▁concept ▁of ▁information - g ap ▁uncertainty , ▁whose ▁differences ▁from ▁more ▁classical ▁approaches ▁to ▁uncertainty ▁are ▁real ▁and ▁deep . ▁Despite ▁the ▁power ▁of ▁classical ▁decision ▁theories , ▁in ▁many ▁areas ▁such ▁as ▁engineering , ▁econom ics , ▁management , ▁medicine ▁and ▁public ▁policy , ▁a ▁need ▁has ▁ar isen ▁for ▁a ▁different ▁format ▁for ▁dec isions ▁based ▁on ▁sever ely ▁uncertain ▁evidence . ▁Ben - Ha im ▁( 2 0 0 6 , ▁p .   1 1 ) ▁▁▁▁▁▁ ▁These ▁strong ▁claims ▁must ▁be ▁subst anti ated . ▁In ▁particular , ▁a ▁clear - cut , ▁une qu iv ocal ▁answer ▁must ▁be ▁given ▁to ▁the ▁following ▁question : ▁in ▁what ▁way ▁is ▁info - g ap ' s ▁generic ▁robust ness ▁model ▁different , ▁indeed ▁rad ically ▁different , ▁from ▁worst - case ▁analysis ▁a ▁la ▁ ▁Max imin ? ▁