  However, the appeal to relevance is unhelpful. For the difficulty now is to determine what is and what isn't relevant, and this is dependent on context. Consider again the action of removing a tea-cup from the cupboard. If the robot's job is to make tea, it is relevant that this facilitates filling the cup from a tea-pot. But if the robot's task is to clean the cupboard, a more relevant consequence is the exposure of the surface the cup was resting on. An AI researcher in the classical mould could rise to this challenge by attempting to specify what propositions are relevant to what context. But philosophers such as Wheeler (2005; 2008), taking their cue from Dreyfus (1992), perceive the threat of infinite regress here. As Dreyfus puts it, “if each context can be recognized only in terms of features selected as relevant and interpreted in a broader context, the AI worker is faced with a regress of contexts” (Dreyfus 1992, 289).