 Anthony Hunter has developed a strategy for using argumentation theory to reason with incomplete and even inconsistent information about probabilities (Hunter 2020). Once inconsistencies have been eliminated by belief contraction, Hunter relies on the maximum entropy distribution that is consistent with the remaining constraints to define the optimal probability function.