I use modal logic and transfinite set-theory to define metaphysical foundations for a general theory of computation. A possible universe is a certain kind of situation; a situation is a set of facts. An algorithm is a certain kind of inductively defined property. A machine is a series of situations that instantiates an algorithm in a certain way. There are finite as well as transfinite algorithms and machines of any degree of complexity (e.g., Turing and super-Turing machines and more). There (...) are physically and metaphysically possible machines. There is an iterative hierarchy of logically possible machines in the iterative hierarchy of sets. Some algorithms are such that machines that instantiate them are minds. So there is an iterative hierarchy of finitely and transfinitely complex minds. (shrink)

It has been claimed that the attempt to analyze know-how in terms of propositional knowledge over-intellectualizes the mind. Exploiting the methods of so-called “experimental philosophy”, we show that the charge of over-intellectualization is baseless. Contra neo-Ryleans, who analyze know-how in terms of ability, the concrete-case judgments of ordinary folk are most consistent with the view that there exists a set of correct necessary and sufficient conditions for know-how that does not invoke ability, but rather a certain sort of propositional knowledge. (...) To the extent that one’s considered judgments agree with those of the folk (or to the extent that one is unwilling to contravene widespread judgments), this constitutes a strong prima facie case against neo-Ryleanism. (shrink)

Over the last several decades, there has been a wealth of illuminating work on processes implicated in social cognition. Much less has been done in articulating how we learn the contours of particular concepts deployed in social cognition, like the concept MENTALISTIC AGENT. Recent developments in learning theory afford new tools for approaching these questions. In this article, I describe some rudimentary ways in which learning theoretic considerations can illuminate philosophically important aspects of the MENTALISTIC AGENT concept. I maintain that (...) MENTALISTIC AGENT is an essentialized concept and that learning-theoretic considerations help explain why the concept is not tied to particular traits. (shrink)

I examine two explanatory models of choking: the representationalist model and the anti-representationalist model. The representationalist model is based largely on Anderson's ACT model of procedural knowledge and is developed by Masters, Beilock and Carr. The antirepresentationalist model is based on dynamical models of cognition and embodied action and is developed by Dreyfus who employs an antirepresentational view of know-how. I identify the models' similarities and differences. I then suggest that Dreyfus is wrong to believe representational activity requires reflection and (...) attention. I also argue that the representationalist model of choking is preferable, since some embodied actions require appeals to representations, something not available to Dreyfus's anti-representational model. (shrink)

Cognitive science has been dominated by the computational conception that cognition is computation across representations. To the extent to which cognition as computation across representations is supposed to be a purposive, meaningful, algorithmic, problem-solving activity, however, computers appear to be incapable of cognition. They are devices that can facilitate computations on the basis of semantic grounding relations as special kinds of signs. Even their algorithmic, problem-solving character arises from their interpretation by human users. Strictly speaking, computers as such — apart (...) from human users — are not only incapable of cognition, but even incapable of computation, properly construed. If we want to understand the nature of thought, then we have to study thinking, not computing, because they are not the same thing. (shrink)

In this paper I criticize the most significant recent examples of the practical knowledge analysis of knowledge-how in the philosophical literature: David Carr [1979, Mind, 88, 394–409; 1981a, American Philosophical Quarterly, 18, 53–61; 1981b, Journal of Philosophy of Education, 15(1), 87–96] and Stanley & Williamson [2001, Journal of Philosophy, 98(8), 411–444]. I stress the importance of know-how in our contemporary understanding of the mind, and offer the beginnings of a treatment of know-how capable of providing insight in to the use (...) of know-how in contemporary cognitive science. Specifically, I claim that Carr’s necessary conditions for know-how fail to capture the distinction he himself draws between ability and knowing-how. Moreover, Carr ties knowing-how to conscious intent, and to an explicit knowledge of procedural rules. I argue that both moves are mistakes, which together render Carr’s theory an inadequate account both of common ascriptions of knowledge-how and of widely accepted ascriptions of knowledge-how within explanations in cognitive science. Finally, I note that Carr’s conditions fail to capture intuitions (heshares) regarding the ascription of know-how to persons lacking ability. I then consider the position advocated by Stanley & Williamson (2001), which seems avoid Carr’s commitments to conscious intent and explicit knowledge while still maintaining that “knowledge-how is simply a species of knowledge-that" (Stanley & Williamson, 2001, p. 411). I argue that Stanley and Williamson’s attempt to frame a reductionist view that avoids consciously occurrent beliefs during exercises of knowledge-how and explicit knowledge of procedural rules is both empirically implausible and explanatorily vacuous. In criticizing these theories I challenge the presuppositions of the most pervasive response to Ryle in the philosophic literature, what might be described as “the received view." I also establish several facts about knowing-how. First, neither conscious intent nor explicit representation (much less conscious representation) of procedural rules are necessary for knowing-how given the theory of cognition current in cognitive science. I argue that the discussed analyses fail to capture the necessary conditions for knowledge-how because know-how requires the instantiation of an ability and of the capacities necessary for exploiting an ability—not conscious awareness of purpose or explicit knowledge of rules. Second, one must understand knowledge-how as task-specific, i.e., as presupposing certain underlying conditions. Conceiving of know-how as task-specific allows one to understand ascriptions of know-how in the absence of ability as counterfactual ascriptions based upon underlying competence. (shrink)

In this essay we introduce the idea of an epistemic triangle, with factual, theoretical, and conceptual investigations at its vertices, and argue that whereas scientific progress requires a balance among the three types of investigations, psychology's epistemic triangle is stretched disproportionately in the direction of factual investigations. Expressed by a variety of different problems, this unbalance may be created by a main operative theme—the obsession of psychology with a narrow and mechanical view of the scientific method and a misguided aversion (...) to conceptual inquiries. Hence, to redress psychology's epistemic triangle, a broader and more realistic conception of method is needed and, in particular, conceptual investigations must be promoted. Using examples from different research domains, we describe the nature of conceptual investigations, relate them to theoretical investigations, and illustrate their purposes, forms, and limitations. (shrink)

Although there is a substantial philosophical literature on dynamical systems theory in the cognitive sciences, the same is not the case for neuroscience. This paper attempts to motivate increased discussion via a set of overlapping issues. The first aim is primarily historical and is to demonstrate that dynamical systems theory is currently experiencing a renaissance in neuroscience. Although dynamical concepts and methods are becoming increasingly popular in contemporary neuroscience, the general approach should not be viewed as something entirely new to (...) neuroscience. Instead, it is more appropriate to view the current developments as making central again approaches that facilitated some of neuroscience’s most significant early achievements, namely, the Hodgkin–Huxley and FitzHugh–Nagumo models. The second aim is primarily critical and defends a version of the “dynamical hypothesis” in neuroscience. Whereas the original version centered on defending a noncomputational and nonrepresentational account of cognition, the version I have in mind is broader and includes both cognition and the neural systems that realize it as well. In view of that, I discuss research on motor control as a paradigmatic example demonstrating that the concepts and methods of dynamical systems theory are increasingly and successfully being applied to neural systems in contemporary neuroscience. More significantly, such applications are motivating a stronger metaphysical claim, that is, understanding neural systems as being dynamical systems, which includes not requiring appeal to representations to explain or understand those phenomena. Taken together, the historical claim and the critical claim demonstrate that the dynamical hypothesis is undergoing a renaissance in contemporary neuroscience. (shrink)

Naturalistically minded philosophers hope to identify a privileged nonsemantic relation that holds between a mental representation m and that which m represents, a relation whose privileged status underwrites the assignment of reference to m. The naturalist can accomplish this task only if she has in hand a nonsemantic criterion for individuating mental representations: it would be question-begging for the naturalist to characterize m, for the purpose of assigning content, as 'the representation with such and such content'. If we individuate mental (...) representations using the tools of dynamical systems theory, we find that a given mental representation, characterized nonsemantically, emerges in the cognitive system as the result of causal interactions between the subject and her environment. At least for the most basic of our mental representations, I argue that the dynamical systems-based approach to individuation increases the plausibility of a theory that assigns reference as a function of the subject's causal history. (shrink)

One of the principal tasks Dennett sets himself in Consciousness Explained is to demolish the Cartesian theater model of phenomenal consciousness, which in its contemporary garb takes the form of Cartesian materialism: the idea that conscious experience is a process of presentation realized in the physical materials of the brain. The now standard response to Dennett is that, in focusing on Cartesian materialism, he attacks an impossibly naive account of consciousness held by no one currently working in cognitive science or (...) the philosophy of mind. Our response is quite different. We believe that, once properly formulated, Cartesian materialism is no straw man. Rather, it is an attractive hypothesis about the relationship between the computational architecture of the brain and phenomenal consciousness, and hence one that is worthy of further exploration. Consequently, our primary aim in this paper is to defend Cartesian materialism from Dennett’s assault. We do this by showing that Dennett’s argument against this position is founded on an implicit assumption (about the relationship between phenomenal experience and information coding in the brain), which while valid in the context of classical cognitive science, is not forced on connectionism. (shrink)

We argue that creative ideas are potentially valuable improbable constructions. We arrive at this formulation of creativity after considering several problems that arise for the theories that suggest that creativity is novelty, originality, or usefulness. Our theory avoids these problems. But since we also derive our theory of creativity from the scientific commitments of a more general theory of cognitive development, a theory called rational constructivism, our theory is unique insofar as it explains creativity in both adults and children through (...) reference to a set of computational mechanisms that have been posited on the basis of independently plausible experimental research. (shrink)

This paper proposes an integrated account of the etiology of OCD that accommodates both dysfunctional cognitions and sensorimotor features of compulsive action. It is argued that cognitive/metacognitive theories do not aspire to address all obsessive-compulsive phenomenal properties and that empirical evidence concerning some of these requires the incorporation of motor deficits as an independent factor in a plausible conception of OCD. The difference in agency attribution between obsessive-compulsive persons and schizophrenia patients with delusions of control is also accounted for in (...) terms of bottom-up processes. (shrink)

1. Cognitive sciences in a broad sense are simply all those sciences which concern themselves with the analysis and explanation of cognitive capacities and achievements. If one speaks of _cognitive science_ in the singular, however, usually something more is meant. Cognitive science is not only characterized by a specific object of research, but also through a particular kind of explanatory paradigm, i.e. the information processing paradigm. Stillings _et. al. _for example begin their book _Cognitive Science _as follows: " Cognitive scientists (...) view the human mind as a complex system that receives, stores, retrieves, transforms, and transmits information. " The information processing paradigm however, leads directly to the paradigm of symbol processing, because a system can, as it seems, only receive, store and process information if it has at its disposal a system of internal representations or _symbols_, i.e. an internal language in which this information is encoded. At least this appears to be an idea which suggests itself and which Peter Hacker expresses as follows. (shrink)

Kognitionswissenschaften – in einem weiten Sinn – sind einfach alle die Wissen- schaften, die sich mit der Analyse und Erklärung kognitiver Leistungen und Fähig- keiten befassen. Wenn man jedoch von der Kognitionswissenschaft im Singular spricht, dann ist in der Regel mehr gemeint. Für die Kognitionswissenschaft ist nicht nur ein bestimmter Forschungsgegenstand charakteristisch, sondern auch ein be- stimmter Erklärungsansatz: der Informationsverarbeitungsansatz. Stillings et al. z.B. schreiben gleich auf der ersten Seite ihres 1987 erschienenen Buches Cognitive Science – An Introduction: „Cognitive scientists (...) view the human mind as a complex system that receives, stores, retrieves, transforms, and transmits information.“ (Stil- lings et al. 1987: 1) Der Informationsverarbeitungsansatz führt jedoch sofort weiter zum Symbolverarbeitungsansatz. Denn offenbar kann ein System nur dann Informa- tionen empfangen, speichern und verarbeiten, wenn es über ein System von internen Repräsentationen oder Symbolen verfügt, über eine interne Sprache, in der diese In- formationen codiert sind. Zumindest ist das eine naheliegende Überlegung, die Peter Hacker so formuliert hat: „... if information is received, encoded, decoded, inter- preted and provides grounds for making plans, then there must be a language or sys- tem of representation in which this is all done.“ (Hacker 1987: 486f.) In der Tat ist die Annahme, daß es in kognitiven Systemen so etwas wie ein System interner Rep- räsentationen bzw. eine Sprache des Geistes1 gibt, die zentrale Grundannahme vieler neuerer Arbeiten in den Bereichen der Kognitionspsychologie und der kognitiven Neurobiologie. Für diese Wissenschaften hat diese Annahme den Status einer empi-. (shrink)