 Nonetheless, several proposals have been made for securing strong independence and solving the Drowning Problem. Geffner and Pearl (Geffner and Pearl 1992) proposed a system of conditional entailment, a variant of circumscription, in which the preference relation on models is defined in terms of the sets of defaults that are satisfied. This enables Geffner and Pearl to satisfy both the Specificity principle and Strong Independence. Another proposal is the maximum entropy approach (Pearl 1988, 490–496; Goldszmidt, Morris and Pearl, 1993; Pearl 1990). A theory \(T\), consisting of defaults \(\Delta\) and facts \(F\), entails \(p\) just in case the probability of \(p\), conditional on \(F\), approaches 1 as the probabilities associated with \(\Delta\) approach 1, using the  entropy-maximizing[6]  probability function that respects the defaults in \(\Delta\). The maximum-entropy approaches satisfies both Specificity and Strong Independence.