Robert Cummins

The current debate over systematicity concerns the formal conditions a scheme of mental representation must satisfy in order to explain the systematicity of thought.1 The systematicity of thought is assumed to be a pervasive property of minds, and can be characterized (roughly) as follows: anyone who can think T can think systematic variants of T, where the systematic variants of T are found by permuting T’s constituents. So, for example, it is an alleged fact that anyone who can think the thought that John loves Mary can think the thought that Mary loves John, where the latter thought is a systematic variant of the former.

The thesis of this paper is that the causal theory of mental content (hereafter CT) is incompatible with an elementary fact of perceptual psychology, namely, that the detection of distal properties generally requires the mediation of a “theory.” I shall call this fact the nontransducibility of distal properties (hereafter NTDP). The argument proceeds in two stages. The burden of stage one is that, taken together, CT and the language of thought hypothesis (hereafter LOT) are incompatible with NTDP. The burden of stage two is that acceptance of CT requires acceptance of LOT as well. It follows that CT is incompatible with NTDP. I organize things in this way in part because it makes the argument easier to understand, and in part because the stage-two thesis—that CT entails LOT—has some independent interest and is therefore worth separating from the rest of the argument.

In exploring the nature of psychological explanation, this book looks at how psychologists theorize about the human ability to calculate, to speak a language and the like. It shows how good theorizing explains or tries to explain such abilities as perception and cognition. It recasts the familiar explanations of "intelligence" and "cognitive capacity" as put forward by philosophers such as Fodor, Dennett, and others in terms of a theory of explanation that makes established doctrine more intelligible to professionals and their students.In particular, the book shows that vestigial adherence to the positivists' D-N model has distorted the view of philosophers of science about what psychologists (and biologists) do and has masked the real nature of explanation. Major sections in the book cover Analysis and Subsumption; Functional Analysis; Understanding Cognitive Capacities; and Historical Reflections.Robert Cummins is Associate Professor of Philosophy at the University of Illinois, Chicago Circle. A Bradford Book.

In book two, Chapter eight of the essay, Locke claims that primary qualities, Unlike secondary qualities, Are really in objects and are resemblances of our ideas. The idioms of containment and of resemblance are explained as formulations of what jonathan bennett calls the analytic thesis and the causal thesis. It is argued that locke was concerned to distinguish primary qualities from what he calls secondary qualities because he thought the latter were not really qualities at all but mere powers and hence not genuinely explanatory.

The Knowledge Argument of Frank Jackson has not persuaded physicalists, but their replies have not dispelled the intuition that someone raised in a black and white environment gains genuinely new knowledge when she sees colors for the first time. In what follows, we propose an explanation of this particular kind of knowledge gain that displays it as genuinely new, but orthogonal to both physicalism and phenomenology. We argue that Mary’s case is an instance of a common phenomenon in which something new is learned as the result of exploiting representational resources that were not previously exploited, and that this results in gaining genuinely new information.

I've tried to argue that there is more to representational content than CRS can acknowledge. CRS is attractive, I think, because of its rejection of atomism, and because it is a plausible theory of targets. But those are philosopher's concerns. Someone interested in building a person needs to understand representation, because, as AI researchers have urged for some time, good representation is the secret of good performance. I have just gestured in the direction I think a viable theory of representation must take. I hope, however, to have created some advance sympathy for the gesture by distinguishing the problem of representation from the problem of targets on the one hand, and from the problem truth-conditions for the attitudes on the other.