Andrew Clark

Cognitive science is in some sense the science of the mind. But an increasingly influential theme, in recent years, has been the role of the physical body, and of the local environment, in promoting adaptive success. No right-minded cognitive scientist, to be sure, ever claimed that body and world were completely irrelevant to the understanding of mind. But there was, nonetheless, an unmistakeable tendency to marginalize such factors: to dwell on inner complexity whilst simplifying or ignoring the complex inner-outer interplays that characterize the bulk of basic biological problem-solving. This tendency was expressed in, for example, the development of planning algorithms that treated real-world action as merely a way of implementing solutions arrived at by pure cognition. It also surfaced in David Marr's depiction of the task of vision as the construction of a detailed threedimensional image of the visual scene. For possession of such a rich inner model effectively allows the system to ‘throw away’ the world and to focus subsequent computational activity on the inner model alone.

The engine of reason, the seat of the soul: a philosophical journey into the brain, Paul M. Churchland. Cambridge: Bradford Books, MIT Press, 1995 ISBN: 0–262–03244–4Cognition in the wild, Edwin Hutchins. Cambridge, MA: MIT Press, 1995. ISBN: 0–262–08231–4Dimensions of creativity, Margaret A. Boden, (Ed.) Cambridge, MA: MIT Press, 1994 ISBN 0–262–02368–7Contemplating minds: a forum for Artificial Intelligence, William J. Clancey, Stephen W. Smoliar & Mark J. Stefik (Eds) Cambridge: Bradford Books, MIT Press, 1994 ISBN 0–262–53119–4Passion and reason: making sense of our emotions, Richard S. Lazarus & Bernice N. Lazarus. Oxford: Oxford University Press, 1994. ISBN 0–19–508757–7Mental reality, Galen Strawson. Cambridge, MA: MIT Press, 1994 ISBN 0–262–19352–3The body and the self, Jose Luis Bermudez, Anthony Marcel & Naomi Eilan (Eds) Cambridge, MA: MIT Press, 1995. ISBN 0–262–02386–5.

Neural organization raises, in an especially clear way, a major problem confronting contemporary cognitive science. The problem (the “big issue” of my title) is: What is the relation between the strategies used to solve basic problems of perception and action and those used to solve more abstract or “cognitive” problems? Is there a smooth, incremental route from what Arbib et al. call “instinctual schemas” to higher-level kinds of cognitive prowess? I argue that, despite some suggestive comments, Arbib et al. do not resolve this issue.

Like those famous nations divided by a single tongue, my paper and Professor P.M. Churchland's deep and engaging reply offer different spins on a common heritage. The common heritage is, of course, a connectionist vision of the inner neural economy- a vision which depicts that economy in terms of supra-sentential state spaces, vector-to-vector transformations, and the kinds of skillful pattern-recognition routine we share with the bulk of terrestrial intelligent life-forms. That which divides us is, as ever, much harder to isolate and name. Clearly, it has something to do with the role of moral talk and exchange, and something to do with the conception of morality itself. Most of this Reply will be devoted to clarifying the nature of the disputed territory. First, though I shall rehearse some points of agreement concerning moral talk and progress.

Fodor's theory makes thinking prior to doing. It allows for an inactive agent or pure reflector, and for agents whose actions in various ways seem to float free of their own conceptual repertoires. We show that naturally evolved creatures are not like that. In the real world, thinking is always and everywhere about doing. The point of having a brain is to guide the actions of embodied beings in a complex material world. Some of those actions are, to be sure, more recondite than others. But in every case the contents of thoughts still look to depend, in some non‐unique but vitally important way, on the kinds of doings they support.

This chapter presents an excerpt from Natural Born Cyborgs, which argues that we are already seamlessly interwoven with technologies around us and that the path toward becoming cyborgs does not lead us to become essentially different than we are. Human minds are already both computational and integrated with the larger technological world around us. Such is our cyborg nature. The idea of human cognition as subsisting in a hybrid, extended architecture remains vastly under‐appreciated. We need to understand in detail how brains like ours dovetail their problem‐solving activities to additional resources, and how the larger systems thus created operate, change, and evolve. In addition, we need to understand that the very ideas of minds and persons are not limited to the biological skin‐bag, and that our sense of self, place, and potential are all malleable constructs ready to expand, change, or contract at surprisingly short notice.

How to build a theory in cognitive science. Valerie Gray Hardcastle. Albany: State University of New York. Press, 1996Language, thought, and consciousness. Peter Carruthers. Cambridge: Cambridge University. Press, 1996. ISBN 0–521–48158–9 (hc)Young children's knowledge about thinking. John H. Flavell, Frances L. Green & Eleanor R. Flavell with Commentary by Paul L. Harris & Janet Wilde Astington. Monographs of the Society for Research in Child Development, 1995, 60 (1, Serial No, 243) Chicago: The University of Chicago PressValuing emotions. Michael Stocker with Elizabeth Hegeman. Cambridge: Cambridge University Press, 1996Explaining attitudes: a practical approach to the mind. Lynne Rudder Baker. Cambridge: Cambridge University Press, 1995. ISBN 0–521–42053–9 $59.95The prehistory of the mind: a search for the origins of art, religion and science. Steven Mithen. London: Thames and Hudson, 1996The discovery of spoken language Peter Jusczyk. Cambridge, MA: MIT Press/Bradford Books, 1997. ISBN 0–262–10058–4 $32.50Noam Chomsky: a life of dissent. Robert F. Barksky Cambridge, MA: MIT Press ISBN 0–262–02418–7 $27.50.

This is the first of two volumes of essays in commemoration of Alan Turing, whose pioneering work in the theory of artificial intelligence and computer science continues to be widely discussed today. A group of prominent academics from a wide range of disciplines focus on three questions famously raised by Turing: What, if any, are the limits on machine `thinking'? Could a machine be genuinely intelligent? Might we ourselves be biological machines, whose thought consists essentially in nothing more than the interaction of neurons according to strictly determined rules? The discussion of these fascinating issues is accessible to non-specialists and stimulating for all readers.

In a short article in the May 2004 edition of Wired magazine (revealingly subtitled “Fear and Loathing on the Human‐Machine Frontier”) the futurist and science fiction writer Bruce Sterling sounds an increasingly familiar alarm. After warning us of the imminent dangers of “brain augmentation” he adds: Another troubling frontier is physical, as opposed to mental, augmentation. Japan has a rapidly growing elderly population and a serious shortage of caretakers. So Japanese roboticists … envision walking wheelchairs and mobile arms that manipulate and fetch. But there's ethical hell at the interfaces, The peripherals may be dizzyingly clever gizmos but the CPU is a human being: old, weak, vulnerable, pitifully limited, possibly senile. (Sterling 2004: 116)