Some years ago, Machery, Mallon, Nichols, and Stich reported the results of experiments that reveal, they claim, cross-cultural differences in speaker’s ‘intuitions’ about Kripke’s famous Gödel–Schmidt case. Several authors have suggested, however, that the question they asked their subjects is ambiguous between speaker’s reference and semantic reference. Machery and colleagues have since made a number of replies. It is argued here that these are ineffective. The larger lesson, however, concerns the role that first-order philosophy should, and more importantly should not, (...) play in the design of such experiments and in the evaluation of their results. (shrink)

Williamson’s Knowledge and its Limits is the most important philosophical discussion of knowledge in many years. It sets the agenda for epistemology for the next decade and beyond.

Explaining the mind by building machines with minds runs into the other-minds problem: How can we tell whether any body other than our own has a mind when the only way to know is by being the other body? In practice we all use some form of Turing Test: If it can do everything a body with a mind can do such that we can't tell them apart, we have no basis for doubting it has a mind. But what is (...) "everything" a body with a mind can do? Turing's original "pen-pal" version (the TT) only tested linguistic capacity, but Searle has shown that a mindless symbol-manipulator could pass the TT undetected. The Total Turing Test (TTT) calls for all of our linguistic and robotic capacities; immune to Searle's argument, it suggests how to ground a symbol manipulating system in the capacity to pick out the objects its symbols refer to. No Turing Test, however, can guarantee that a body has a mind. Worse, nothing in the explanation of its successful performance requires a model to have a mind at all. Minds are hence very different from the unobservables of physics (e.g., superstrings); and Turing Testing, though essential for machine-modeling the mind, can really only yield an explanation of the body. (shrink)

Folk psychological realism is the view that folk psychology is true and that people really do have propositional attitudes, whereas anti-realism is the view that folk psychology is false and people really do not have propositional attitudes. We argue that anti-realism is not worthy of acceptance and that realism is eminently worthy of acceptance. However, it is plainly epistemically possible to favor either of two forms of folk realism: scientific or non-scientific. We argue that non-scientific realism, while perhaps unpopular among (...) philosophers of mind, is a distinct form of realism from scientific realism, and that it is not yet knowable whether scientific or non-scientific realism is true. We also outline how adopting realism, but remaining neutral between scientific and non-scientific realism, offers fresh insights into such topics as instrumentalism, supervenience, the language of thought hypothesis, and elimin-ativism. (shrink)

The paper traces how disappointment with the notion of linguistic meaning has led to a shift towards the new, technical term of “narrow content”. In the first part of the paper I analyze the ways “narrow content” is understood in the literature. I show two important distinctions which have to be applied to the term in order to avoid confusion – the difference between context and functional theories of narrow content, and the difference between mental and linguistic narrow content. I (...) argue that the most controversial combination of both distinctions is the idea of functional linguistic narrow content. In the second part of the paper I show that, contrary to the initial impression, this controversial, cut back notion of narrow content sheds some much needed light on several key semantic phenomena which we might otherwise be unable to explain – and because of this can be seen as a rightful descendant of the notion of meaning. (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.

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.

In the wake of Frege's attack on psychologism and the subsequent influence of Logical Positivism, psychological considerations in philosophy came to be viewed with suspicion. Philosophical questions, especially epistemological ones, were viewed as 'logical' questions, and logic was sharply separated from psychology. Various efforts have been made of late to reconnect epistemology with psychology. But there is little agreement about how such connections should be made, and doubts about the place of psychology within epistemology are still much in evidence. It (...) therefore remains to be clarified just how such links should be established, and what impact they would have on the direction of epistemology. (shrink)

Heidegger has provided a profound account of human existence in terms of the to-be-da. Even though Heidegger disregarded its brain machine basis (and even though brain scientists disregard Heidegger), the issue of the Dasein's machine basis is raised by the empirically extremely well confirmed “supervenience” of the Dasein on the brain. Since the Turing machine will not do as basis for the Dasein, as Dreyfus has shown, contemporary functionalism cannot resolve the issue. Instead an “existential functionalism,” which looks to some (...) other kind of machine than the computer, is called for. A machine that continuously tunes filters on input and that detects any match between abstract properties of the input flux and filter specifications was considered. A match points to those tuning rules whose abstract conditions have been satisfied by input, and the rules thus selected are enabled to generate their own fulfillment through mechanisms that can presently be only speculated about. Such a machine cannot sustain direct perception but is “methodologically solipsistic.” At the most general level of description, the wet machine that provides a supervenience base for the Dasein is to be considered a “windowless monad.”. (shrink)

Four difficulties with Dretske's theory of knowledge .

Drawing on a range of literature, I introduce two new concepts for understanding and exploring distributed cognition: resilience engineering and degeneracy. By re-examining Ed Hutchins’ (1995) ethnographic study of the navigation team I show how a focus on the developmental acquisition of cognitive practices can draw out several crucial insights that have been overlooked. Firstly, that the way in which agents learn and acquire cognitive practices enables a form of resilience engineering: the process by which the system is able to (...) overcome and adapt to errors and the vagaries of nature. Secondly, that the best way to engineer a resilient system is through promoting degeneracy – how differing structures produce the same function – at the level of cognitive practices. These two features show that focusing on cognitive practices and developmental trajectories is important for both greater explanatory leverage; and is also useful in regard to the practicalities of designing real-world cognitive systems. (shrink)

In this paper, I explicate and discuss performance-similarity reasoning as a strategy for mechanism schema evaluation, understood in Lindley Darden’s sense. This strategy involves inferring hypotheses about the mechanism responsible for cognitive capacities from premises describing the performance of those capacities; performance-similarity reasoning is a type of Inference to the Best Explanation, or IBE. Two types of such inferences are distinguished: one in which the performance of two systems is compared, and another when the performance of two systems under intervention (...) is compared. Both types of inferences are illustrated with examples taken from cognitive science. I conclude that performance-similarity reasoning is an important strategy for evaluating mechanistic hypotheses. (shrink)

Externalism about mental content is now widely accepted. It is therefore surprising that there is no established definition of externalism. I believe that this is a symptom of an unrecognized fact: that the labels 'mental content externalism' -- and its complement 'mental content internalism' -- are profoundly ambiguous. Under each of these labels falls a hodgepodge of sometimes conflicting claims about the organism's contribution to thought contents, the nature of the self, relations between the individual and her community, and the (...) epistemic availability of thoughts. This situation stems from the fact that contributors to debates about externalism differ in how they understand 'internal property'; these differences reveal (or, perhaps, generate) disparate conceptions of what is at issue in these debates. I argue that this situation is irremediable. There is no way to understand 'internal property' that will conform with prevailing beliefs about the nature of internalism and externalism, and with the usual taxonomy of leading positions. This ambiguity carries a heavy price: participants in these debates often argue at cross-purposes, disagreeing even on the nature of the evidence that could settle the question of externalism. Progress on the broad range of issues associated with these debates requires that we abandon the categories 'internalism' and 'externalism'. I close by suggesting a promising avenue for future research related to these issues. (shrink)

Which notion of computation (if any) is essential for explaining cognition? Five answers to this question are discussed in the paper. (1) The classicist answer: symbolic (digital) computation is required for explaining cognition; (2) The broad digital computationalist answer: digital computation broadly construed is required for explaining cognition; (3) The connectionist answer: sub-symbolic computation is required for explaining cognition; (4) The computational neuroscientist answer: neural computation (that, strictly, is neither digital nor analogue) is required for explaining cognition; (5) The extreme (...) dynamicist answer: computation is not required for explaining cognition. The first four answers are only accurate to a first approximation. But the “devil” is in the details. The last answer cashes in on the parenthetical “if any” in the question above. The classicist argues that cognition is symbolic computation. But digital computationalism need not be equated with classicism. Indeed, computationalism can, in principle, range from digital (and analogue) computationalism through (the weaker thesis of) generic computationalism to (the even weaker thesis of) digital (or analogue) pancomputationalism. Connectionism, which has traditionally been criticised by classicists for being non-computational, can be plausibly construed as being either analogue or digital computationalism (depending on the type of connectionist networks used). Computational neuroscience invokes the notion of neural computation that may (possibly) be interpreted as a sui generis type of computation. The extreme dynamicist argues that the time has come for a post-computational cognitive science. This paper is an attempt to shed some light on this debate by examining various conceptions and misconceptions of (particularly digital) computation. (shrink)