One of the major concerns of theoretical computer science is the
classifi- cation of problems in terms of how hard they are. The natural
measure of difficulty of a function is the amount of time needed to
compute it (as a function of the length of the input). Other resources,
such as space, have also been considered. In recursion theory, by
contrast, a function is considered to be easy to compute if there exists
some algorithm that computes it. We wish to classify functions that are
hard, i.e., not computable, in a quantitative way. We cannot use time or
space, since the functions are not even computable. We cannot use Turing
degree, since this notion is not quantitative. Hence we need a new
notion of complexity-much like time or spac that is quantitative and yet
in some way captures the level of difficulty (such as the Turing degree)
of a function.