Stephen Stich and Shaun Nichols advance the debate over folk psychology with their vivid depiction of the contest between the simulation theory and the theory-theory (Stich & Nichols, this issue). At least two aspects of their presentation I find highly congenial. First, they give a generally fair characterization of the simulation theory, in some respects even improving its formulation. Though I have a few minor quarrels with their formulation, it is mostly quite faithful to the version which I have found (...) attractive (Goldman, 1989).Second, I concur with Stich and Nichols in their assertion that the theory-theory and the simulation theory are the only two games in town. Where I disagree, of course, is in Stich and Nichols’s contention that their arguments so dim the prospects of the simulation theory that it should no longer be taken seriously. On the contrary, I shall maintain, the simulation theory remains a very plausible contender, and should receive careful and respectful consideration in the continuing investigation. (shrink)

At least since Augustine, philosophers have constructed developmental just-so stories about the origins of certain concepts. In these just-so stories, philosophers tell us how children must develop these concepts. However, philosophers have by and large neglected the empirical data about how children actually do develop their ideas about the world. At best they have used information about children in an anecdotal and unsystematic, though often illuminating, way.

Let us begin with what all of us here agree on: folk psychology is not immune to revision. It has a certain vulnerability in principle. Any particular part of it might be overthrown and replaced by some other doctrine. Yet we disagree about how likely it is that that vulnerability in principle will turn into the actual demise of large portions--or all--of folk psychology. I am of the view that folk psychology is here for the long haul, and for some (...) very good reasons. But I am not going to concentrate on that in my remarks. What nobody has bothered saying here yet, but is probably worth saying, is that for all of its blemishes, warts and perplexities, folk psychology is an extraordinarily powerful source of prediction. It is not just prodigiously powerful but remarkably easy for human beings to use. We are virtuoso exploiters of not so much a theory as a craft. That is, we might better call it a folk craft rather than a folk theory. The theory of folk psychology is the ideology about the craft, and there is lots of room, as anthropologists will remind us, for false ideology. (shrink)

The essays in this volume are concerned with our everyday and developed scientific systems of explanation of human behavior in terms of beliefs, attitudes,...

The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...) human functioning that can be addressed exclusively in terms of a formal symbolic or algorithmic vocabulary or level of analysis. Much of the paper elaborates various conditions that need to be met if a literal view of mental activity as computation is to serve as the basis for explanatory theories. The coherence of such a view depends on there being a principled distinction between functions whose explanation requires that we posit internal representations and those that we can appropriately describe as merely instantiating causal physical or biological laws. In this paper the distinction is empirically grounded in a methodological criterion called the " cognitive impenetrability condition." Functions are said to be cognitively impenetrable if they cannot be influenced by such purely cognitive factors as goals, beliefs, inferences, tacit knowledge, and so on. Such a criterion makes it possible to empirically separate the fixed capacities of mind from the particular representations and algorithms used on specific occasions. In order for computational theories to avoid being ad hoc, they must deal effectively with the "degrees of freedom" problem by constraining the extent to which they can be arbitrarily adjusted post hoc to fit some particular set of observations. This in turn requires that the fixed architectural function and the algorithms be independently validated. It is argued that the architectural assumptions implicit in many contemporary models run afoul of the cognitive impenetrability condition, since the required fixed functions are demonstrably sensitive to tacit knowledge and goals. The paper concludes with some tactical suggestions for the development of computational cognitive theories. (shrink)

There seem to be two kinds of pain: fundamental pain, the intensity of which is a direct function of the intensity of various pain stimuli, and pain, the intensity of which is highly modifiable by such factors as hypnotism, placebos, and the sociocultural setting in which the stimulus occurs.

The theory of visual perception that Irvin Rock develops and supports in this book with numerous original experiments, views perception as the outcome of a process of unconscious inference, problem solving, and the building of structural descriptions of the external world.

The present essay is addressed simultaneously to two distinct audiences.

I defend the historical definition of "function" originally given in my Language, Thought and Other Biological Categories (1984a). The definition was not offered in the spirit of conceptual analysis but is more akin to a theoretical definition of "function". A major theme is that nonhistorical analyses of "function" fail to deal adequately with items that are not capable of performing their functions.

A Neurocomputationial Perspective illustrates the fertility of the concepts and data drawn from the study of the brain and of artificial networks that model the...

Investigations of the function of consciousness in human information processing have focused mainly on two questions: (1) where does consciousness enter into the information processing sequence and (2) how does conscious processing differ from preconscious and unconscious processing. Input analysis is thought to be initially "preconscious," "pre-attentive," fast, involuntary, and automatic. This is followed by "conscious," "focal-attentive" analysis which is relatively slow, voluntary, and flexible. It is thought that simple, familiar stimuli can be identified preconsciously, but conscious processing is needed (...) to identify complex, novel stimuli. Conscious processing has also been thought to be necessary for choice, learning and memory, and the organization of complex, novel responses, particularly those requiring planning, reflection, or creativity. (shrink)

A perfectly matched layer (PML) absorbing material composed of a uniaxial anisotropic material is presented for the truncation of finite-difference time-domain (FDTD) lattices. It is shown that the uniaxial PML material formulation is mathematically equivalent to the perfectly matched layer method published by Berenger (see J. Computat. Phys., Oct. 1994). However, unlike Berenger's technique, the uniaxial PML absorbing medium presented in this paper is based on a Maxwellian formulation. Numerical examples demonstrate that the FDTD implementation of the uniaxial PML medium (...) is stable, equal in effectiveness as compared to Berenger's PML medium, while being more computationally efficient. (shrink)

The aim of this paper is to show how thought experiments help us learn about laws. After providing examples of this kind of nomic illumination in the first section, I canvass explanations of our modal knowledge and opt for an evolutionary account. The basic application is that the laws of nature have led us to develop rough and ready intuitions of physical possibility which are then exploited by thought experimenters to reveal some of the very laws responsible for those intuitions. (...) The good news is that natural selection ensures a degree of reliability for the intuitions. The bad news is that the evolutionary account seems to limit the range of reliable thought experiment to highly practical and concrete contexts. In the fifth section, I provide reasons for thinking that we are not as slavishly limited as a pessimistic construal of natural selection suggests. Nevertheless, I promote the idea that biology is a promising source of predictions and diagnoses of thought experiment failures. (shrink)

A study in the philosophy of science, proposing a strong form of the doctrine of scientific realism' and developing its implications for issues in the philosophy of mind.

The contributors to this volume examine recent controversies about the importance of common sense psychology for our understanding of the human mind. Common sense provides a familiar and friendly psychological scheme by which to talk about the mind. Its categories tend to portray the mind as quite different from the rest of nature, and thus irreducible to physical matters and its laws. In this volume a variety of positions on common sense psychology from critical to supportive, from exegetical to speculative, (...) are represented. Among the questions posed are: Is common sense psychology an empirical theory, a body of analytic knowledge, a practice or a strategy? If it is a legitimate enterprise can it be naturalized or not? If it is not legitimate can it be eliminated? Is its fate tied to our understanding of consciousness? Should we approach its concepts and generalizations from the standpoint of conceptual analysis or from the philosophy of science? (shrink)

Looks at accounts by Locke, Fodor, Dretske, and Millikan concerning the nature of mental representation, and discusses connectionism and representation.

A central aspect of people's beliefs about the mind is that mental activities—for example, thinking, reasoning, and problem solving—are interrelated, with some activities being kinds or parts of others. In common-sense psychology, reasoning is a kind of thinking and reasoning is part of problem solving. People's conceptions of these mental kinds and parts can furnish clues to the ordinary meaning of these terms and to the differences between folk and scientific psychology. In this article, we use a new technique for (...) deriving partial orders to analyze subjects' decisions about whether one mental activity is a kind or part of another. The resulting taxonomies and partonomies differ from those of common object categories in exhibiting a converse relation in this domain: One mental activity is a part of another if the second is a kind of the first. The derived taxonomies and partonomies also allow us to predict results from further experiments that examine subjects' memory for these activities, their ratings of the activities' importance, and their judgments about whether there could be "possible minds" that possess some of the activities but not others. (shrink)