Graham White

We start with Fodor's critique of cognitive science in "The mind doesn't work that way: The scope and limits of computational psychology": he argues that much mental activity cannot be handled by the current methods of cognitive science because it is nonmonotonic and, therefore, is global in nature, is not context-free, and is thus not capable of being formalized by a Turing-like mental architecture. We look at the use of nonmonotonic logic in the artificial intelligence community, particularly with the discussion of the so-called frame problem. The mainstream approach to the frame problem is, we argue, probably susceptible to Fodor's critique; however, there is an alternative approach, due to McCain and Turner, which is, when suitably reformulated, not susceptible. In the course of our argument, we give a proof theory for the McCain-Turner system and show that it satisfies cut elimination. We have two substantive conclusions: first, that Fodor's argument depends on assumptions about logical form which not all nonmonotonic theories satisfy and, second, that metatheory plays an important role in the context of evolutionary accounts of rationality.

We compare the role of Cartesian assumptions in the symbol grounding problem and in the Myth of the Given: We argue that the Sellars–McDowell critique of the Myth of the Given and, in particular, its use of the concept of normativity can provide useful resources for responding to the symbol grounding problem. We also describe the concepts of normativity at work in computer science and cognitive science: We argue that normative concepts are pervasive in the sciences and that, in particular, McDowell’s dichotomy between the normative space of reasons and the realm of nature is somewhat problematic