摘要：Bayesian decision theory is profoundly personalistic. It prescribes the decision d that minimizes the expectation of the decision-maker’s loss function L(d,θ) with respect to that person’s opinion π(θ). Attempts to extend this paradigm to more than one decision-maker have generally been unsuccessful, as shown in Part A of this paper. Part B of this paper explores a different decision set-up, in which Bayesians make choices knowing that later Bayesians will make decisions that matter to the earlier Bayesians. We explore conditions under which they together can be modeled as a single Bayesian. There are three reasons for doing so:.
