▁model ▁is ▁to ▁express ▁the ▁constraint ▁▁ ▁as ▁a ▁worst - case ▁requirement . ▁This ▁is ▁a ▁straightforward ▁task , ▁obser ving ▁that ▁for ▁any ▁triple t ▁ ▁of ▁interest ▁we ▁have ▁▁▁ ▁where ▁ ▁hence , ▁ ▁which , ▁of ▁course , ▁is ▁a ▁Max imin ▁model ▁a ▁la ▁Mathemat ical ▁Program ming . ▁ ▁In ▁short , ▁ ▁Note ▁that ▁although ▁the ▁model ▁on ▁the ▁left ▁does ▁not ▁include ▁an ▁explicit ▁" min ", ▁it ▁is ▁never theless ▁a ▁typical ▁Max imin ▁model . ▁The ▁feature ▁rendering ▁it ▁a ▁Max imin ▁model ▁is ▁the ▁ ▁requirement ▁which ▁l ends ▁itself ▁to ▁an ▁intuit ive ▁ ▁worst - case ▁form ulation ▁and ▁interpretation . ▁ ▁In ▁fact , ▁the ▁presence ▁of ▁a ▁double ▁" max " ▁in ▁an ▁info - g ap ▁robust ness ▁model ▁does ▁not ▁necessarily ▁alter ▁the ▁fact ▁that ▁this ▁model ▁is ▁a ▁Max imin ▁model . ▁For ▁instance , ▁consider ▁the ▁robust ness ▁model ▁ ▁This ▁is ▁an ▁instance ▁of ▁the ▁following ▁Max imin ▁model ▁ ▁where ▁ ▁The ▁" inner ▁min " ▁indicates ▁that ▁Nature ▁plays ▁against ▁the ▁DM — the ▁" max " ▁player — h ence ▁the ▁model ▁is ▁a ▁robust ness ▁model . ▁ ▁The ▁nature ▁of ▁the ▁info - g ap / maxim in / min imin ▁connection ▁▁▁ ▁This ▁model ing ▁issue ▁is ▁discussed ▁here ▁because ▁claims ▁have ▁been ▁made ▁that ▁although ▁there ▁is ▁a ▁close ▁relationship ▁between ▁info - g ap ' s ▁robust ness ▁and ▁opportun eness ▁models ▁and ▁the