David Marr provided a useful framework for theorizing about cognition within classical, AI-style cognitive science, in terms of three levels of description: the levels of (i) cognitive function, (ii) algorithm and (iii) physical implementation. We generalize this framework: (i) cognitive state transitions, (ii) mathematical/functional design and (iii) physical implementation or realization. Specifying the middle, design level to be the theory of dynamical systems yields a nonclassical, alternative framework that suits (but is not committed to) connectionism. We consider how a brain's (...) (or a network's) being a dynamical system might be the key both to its realizing various essential features of cognition — productivity, systematicity, structure-sensitive processing, syntax — and also to a non-classical solution of (frame-type) problems plaguing classical cognitive science. (shrink)

"A third of the papers in this volume originated at the 1987 Spindel Conference ... at Memphis State University"--Pref.

Human cognition is rich, varied, and complex. In this Chapter we argue that because of the richness of human cognition (and human mental life generally), there must be a syntax of cognitive states, but because of this very richness, cognitive processes cannot be describable by exceptionless rules. The argument for syntax, in Section 1, has to do with being able to get around in any number of possible environments in a complex world. Since nature did not know where in the (...) world humans would find themselves—nor within pretty broad limits what the world would be like —nature had to provide them with a means of “representing” a great deal of information about any of indefinitely many locations. We see no way that this could be done except by way of syntax— that is, by a systematic way of producing new, appropriate representations as needed. We discuss what being systematic must amount to, and what, in consequence, syntax should mean. We hold that syntax does not require a part/whole relationship. The argument for the claim that human cognitive processes cannot be described by exceptionless rules, in Section 2, appeals to the fact that there is no limit to the factors one might.. (shrink)

Andy Clark argues that the reality and causal efficacy of the folk psychological attitudes do not require in‐the‐head correlates of the that‐clauses by which they are attributed. The facts for which Fodor invokes a language of thought as empirical explanation—systemati‐city, for example—are, Clark argues, an a priori conceptual demand upon propositional attitude ascription, and hence not in need of empirical explanation. However, no such strategy can work. A priori demands imposed by our practices do not eliminate the need for empirical (...) explanation of how these demands are satisfied by particular beings. And given the vast number of potential beliefs, and the interrelationships they exhibit, no one has the slightest idea how they might be explained except by in‐the‐head syntax. (shrink)

Any successful account of general terms must explain our ability to apply terms correctly to new instances. Many philosophers have thought resemblance offers an ontologically sparse basis for such an account. However, Any natural and plausible account of general terms on the basis of resemblance requires quite a rich ontology, Including at least second order properties and relations. Given a sufficiently rich structure of resemblances, We can surely account for the application of many general terms. I argue, However, That our (...) ability to recognize shapes and to apply terms for shapes cannot be explained on the basis of resemblance. (shrink)