 Given a specification of what will count as a good-enough outcome, satisficing replaces the optimization objective from expected utility theory of selecting an undominated outcome with the objective of picking an option that meets your aspirations. The model has since been applied to business (Bazerman &amp; Moore 2008; Puranam, Stieglitz, Osman, &amp; Pillutla 2015), mate selection (Todd &amp; Miller 1999) and other practical sequential-choice problems, like selecting a parking spot (Hutchinson, Fanselow, et al. 2012). Ignoring the procedural aspects of Simon’s original formulation of satisficing, if one has a fixed aspirational level for a given decision problem, then admissible choices from satisficing can be captured by so-called \(\epsilon\)-efficiency methods (Loridan 1984; White 1986).