In essence, a decision problem asks whether we can determine for some input whether or not it falls within some particular set using an algorithm. That is, it asks for any arbitrary x of the input type (could be numbers, formulas, etc), is there is a recursive function f such that f(x) delivers a yes-or-no verdict on whether x is a member of the chosen set? If so, the problem is said to be decidable and if not, undecidable. For example, consider the decision problem for validity in some system of logic. It asks whether there is a recursive function that can determine whether or not an arbitrary formula is valid (falls within the set of valid formulas). This problem is decidable for the propositional calculus and undecidable for the predicate calculus, if just one dyadic predicate is admitted (this is Church's theorem).
A Turing machine can decide any decidable problem. I.e., it can compute the function that tells us whether a given input falls within the chosen set, if the problem is decidable. However, its computations are algorithmic so it cannot decide undecidable problems. In fact, a function is recursive if and only if it is Turing computable. The question asked is: does there exist an undecidable problem for which we can deliver a verdict, thereby elevating ourselves above the deterministic calculations of computers?
A Turing machine can decide any decidable problem. I.e., it can compute the function that tells us whether a given input falls within the chosen set, if the problem is decidable. However, its computations are algorithmic so it cannot decide undecidable problems. In fact, a function is recursive if and only if it is Turing computable. The question asked is: does there exist an undecidable problem for which we can deliver a verdict, thereby elevating ourselves above the deterministic calculations of computers?