 To measure the degree of relief from agnosticism, a probability function \(m(\cdot)\) is defined over the elements of \({\bf A}\). Crucially, \(m(\cdot)\) does not measure a degree of belief, but degree of  uninformativeness. The degree of relief from agnosticism afforded by \(H\in {\bf A},\) also referred to as the  amount of content  in \(H\), is defined to be the complement of uninformativeness: \(cont(H_i) = m(\neg H_i).\) Levi argues that all the elements of \({\bf Q}\) ought to be assigned the same amount of content, i.e. \(m(H_i)=\frac{1}{n}\) and therefore \(cont(H_i)= \frac{n-1}{n}\) for each \(H_i\in{\bf Q}\). The set of epistemic utility functions that Levi recommends satisfy the following conditions: 