Abstract. Quite often, decision makers face choices that involve new aspects and alternatives never considered before. Scenarios of this sort may arise, for instance, as a result of technological progress, or from individual circumstances such as information acquisition and improved awareness. In such situations, simple inference rules, past experience and knowledge about historic choice problems, may prove helpful in determining what would be a reasonable action to take vis-a-vis a new problem. In the context of decision making under uncertainty, we introduce and study an extension rule, that enables the decision maker to extend a preference order defined on a restricted domain. We show that utilizing this extension rule results in Knightian preferences, when starting off with an expected-utility maximization model confined to a small world.