 The agent’s partial beliefs are represented by a probability function \(\Pr\) that is defined, at a minimum, over the algebra \({\bf A}\) generated by the question. Levi recommends the following procedure to determine which propositions are fully believed: disjoin all those elements of \({\bf Q}\) that have  maximal  expected epistemic utility and then close under deductive consequence. The  expected epistemic utility of a hypothesis \(H\in{\bf A}\) is defined as: \[E(H) := \Pr(H)\cdot U(H) + \Pr(\neg H)\cdot u(H),\] where \(U(H)\) is the epistemic utility of accepting \(H\) when it is true, and \(u(H)\) is the utility of accepting \(H\) when it is false. How are \(u(H), U(H)\) to be determined? Levi is guided by the following principles.