 A different view of problem-solving is involved in those theories which discuss problems of decision and action. A radical pragmatist view treats science as a systematic method of solving such decision problems relative to various kinds of practical utilities. According to the view called behavioralism by the statistician L J. Savage, science does not produce knowledge, but rather recommendations for actions: to accept a hypothesis is always a decision to act as if that hypothesis were true. Progress in science can then be measured by the achievement of the practical utilities of the decision maker. An alternative methodological version of pragmatism is defended by Rescher (1977) who accepts the realist view of theories with some qualifications, but argues that the progress of science has to be understood as “the increasing success of applications in problem-solving and control.” Similarly, Douglas (2014), after suggesting that the distinction between pure and applied science should be relinquished, defines progress “in terms of the increased capacity to predict, control, manipulate, and intervene in various contexts.” In this view, the notion of scientific progress is in effect reduced to science-based technological progress (cf. Niiniluoto 1984).