 In the case of full beliefs, it is reasonably straightforward to define the measures of accuracy: a belief in a proposition receives some positive epistemic utility \(R\) when the proposition is true and some negative epistemic utility \(-W\) when it is false; and if you suspend judgment on a proposition, you receive epistemic utility 0 whether it is true or false. Kenny Easwaran (2015) and Kevin Dorst (2017) explore the consequences of this account and show that it naturally gives rise to what is known as the Lockean account of the relationship between credences and full beliefs. Relative to a probability function \(c\), you maximise your expected epistemic utility by believing a proposition \(A\) iff \(c(A) &gt; \frac{W}{R+W}\).