Many applications of CSPs require partial solutions to be found before all the information about the problem is available. We examine the case where the future is partially known, and where it is important to make decisions in the present that will be robust in the light of future events. We introduce the branching CSP to model these situations, incorporating some elements of decision theory, a...
