In this paper I consider the relation between Descartes' psychology of vision and the cognitive science approach to psychology (henceforth CS). In particular, I examine Descartes' the Optics (1637) in the light of David Marr's (1982) position in CS. My general claim is that CS can be seen as a rediscovery of Descartes' psychology of vision. In the first section, I point to a parallel between Descartes' epistemological revolution, which created the modem version of the problem of perception, and the (...) cognitive revolution. These fundamental revolutions in theoretical psychology were both inspired and legitimated by a revolution in mathematics. They took place in accordance with one of Marr's maxims: “To the desirable via the possible”. In the second section, I demonstrate that in the Optics, Descartes explains perception of metrical properties in a way that — on a detailed level — is in accordance with how Man argues that complex information processing systems have to be explained: both Descartes and Man emphasize the co-ordination of logical and physical analysis. In the third section, I claim that Descartes' arguments for a sharp distinction between mechanical transmission of sense data (sensation) and non-mechanical inferences on those sense data (thinking) are sound arguments seen from Man's position in CS. Descartes' arguments are based on his logical and physical analysis. Malebranche's radicalized version of Cartesian dualism turns Descartes' empirically-based assumption that mechanisms cannot realize inferences into a metaphysical assumption. In the final section, I argue that this metaphysical assumption contributes to an understanding of perception as a non-symbolic, non-inferential bottom-up process in mainstream monistic and mechanistic scientific psychology until the cognitive revolution. (shrink)

Abstract An examination of John Pollock's theory of artificial intelligence and philosophy of mind raises difficulties for his mechanist concept of person. Token physicalism, agent materialism, and strong artificial intelligence are so related that if the first two propositions are not well?established, then there is no justification for believing that an artificial consciousness can be designed and built. Pollock's arguments are shown to be inconclusive in upholding a functionalist theory of persons as supervenient but purely physical entities. In part this (...) is the result of Pollock's thin definition of the concept of supervenience, according to which any complex supervenes on its proper parts. The limitations of this account are apparent when contrasted with richer conceptions of supervenience, such as Joseph Margolis?. But on Margolis? theory, the mind and its expressions supervene on or rise above their material embodiments in the sense that they cannot be fully explained in physical terms, which contradicts Pollock's token physicalism and agent materialism. The consequence for Pollock's project to explain the mind as mechanical, and to manufacture artificial persons, is that these systems can at best aspire to impressive innovations in weak artificial intelligence, but realistically cannot aspire to strong or mentalistic artificial intelligence. (shrink)

Over the past several decades, the philosophical community has witnessed the emergence of an important new paradigm for understanding the mind.1 The paradigm is that of machine computation, and its influence has been felt not only in philosophy, but also in all of the empirical disciplines devoted to the study of cognition. Of the several strategies for applying the resources provided by computer and cognitive science to the philosophy of mind, the one that has gained the most attention from philosophers (...) has been the Computational Theory of Mind (CTM). CTM was first articulated by Hilary Putnam (1960, 1961), but finds perhaps its most consistent and enduring advocate in Jerry Fodor (1975, 1980, 1981, 1987, 1990, 1994). It is this theory, and not any broader interpretations of what it would be for the mind to be a computer, that I wish to address in this paper. What I shall argue here is that the notion of symbolic representation employed by CTM is fundamentally unsuited to providing an explanation of the intentionality of mental states (a major goal of CTM), and that this result undercuts a second major goal of CTM, sometimes refered to as the vindication of intentional psychology. This line of argument is related to the discussions of derived intentionality by Searle (1980, 1983, 1984) and Sayre (1986, 1987). But whereas those discussions seem to be concerned with the causal dependence of familiar sorts of symbolic representation upon meaning-bestowing acts, my claim is rather that there is not one but several notions of meaning to be had, and that the notions that are applicable to symbols are conceptually dependent upon the notion that is applicable to mental states in the fashion that Aristotle refered to as paronymy. That is, an analysis of the notions of meaning applicable to symbols reveals that they contain presuppositions about meaningful mental states, much as Aristotle's analysis of the sense of healthy that is applied to foods reveals that it means conducive to having a healthy body, and hence any attempt to explain mental semantics in terms of the semantics of symbols is doomed to circularity and regress. I shall argue, however, that this does not have the consequence that computationalism is bankrupt as a paradigm for cognitive science, as it is possible to reconstruct CTM in a fashion that avoids these difficulties and makes it a viable research framework for psychology, albeit at the cost of losing its claims to explain intentionality and to vindicate intentional psychology. I have argued elsewhere (Horst, 1996) that local special sciences such as psychology do not require vindication in the form of demonstrating their reducibility to more fundamental theories, and hence failure to make good on these philosophical promises need not compromise the broad range of work in empirical cognitive science motivated by the computer paradigm in ways that do not depend on these problematic treatments of symbols. (shrink)

The psychological condition of being happy is best understood as a matter of a person’s emotional condition. I elucidate the notion of an emotional condition by introducing two distinctions concerning affect, and argue that this “emotional state” view is probably superior on intuitive and substantive grounds to theories that identify happiness with pleasure or life satisfaction. Life satisfaction views, for example, appear to have deflationary consequences for happiness’ value. This would make happiness an unpromising candidate for the central element in (...) a theory of well-being, as it is in L. W. Sumner’s work. Yet on an emotional state conception, happiness may prove to be a key constituent of well-being. The emotional state view also makes happiness less vulnerable to common doubts about the importance of happiness, and indicates that mood states are more important for well-being than is generally recognized. (shrink)

The idea that human thinking and machine computing are "radically the same" provides the central theme for this marvelously lucid and witty book on...

What counts as a computation and how it relates to cognitive function are important questions for scientists interested in understanding how the mind thinks. This paper argues that pragmatic aspects of explanation ultimately determine how we answer those questions by examining what is needed to make rigorous the notion of computation used in the (cognitive) sciences. It (1) outlines the connection between the Church-Turing Thesis and computational theories of physical systems, (2) differentiates merely satisfying a computational function from true computation, (...) and finally (3) relates how we determine a true computation to the functional methodology in cognitive science. All of the discussion will be directed toward showing that the only way to connect formal notions of computation to empirical theory will be in virtue of the pragmatic aspects of explanation. (shrink)

This article selectively surveys recent work touching consciousness. It discusses some recent arguments and positions with a view to throwing light on a working principle of much influential philosophical psychology, namely that the first?person point of view is theoretically redundant. The discussion is divided under a number of headings corresponding to specific functions that have been attributed to the first?person viewpoint, from the experience of something it is like to undergo physical processes, to the presence of selfhood, mental substance, meaning, (...) understanding, and value. Arguments indicating limitations of the working principle are adduced, as well as arguments indicating possible exploitations of those limitations by first?personalist positions. Although some of the latter also have limitations, the direction in which the examination tends is that of a progressive widening of the concept of consciousness. (shrink)

Recent experiments have shown that when individuals with a substance use disorder are confronted with drug-related cues, they exhibit an automatically activated tendency to approach these cues. The strength of the drug approach bias has been associated with clinically relevant measures, such as increased drug craving and relapse, and activations in brain reward areas. Retraining the approach bias by means of cognitive bias modification has been demonstrated to decrease relapse rates in patients with an alcohol use disorder and to reduce (...) alcohol cue-evoked limbic activity. Here, we review empirical and theoretical literature on the drug approach bias and explore two distinct models of how the drug approach bias may be embodied. First, we consider the “biological meaning” hypothesis, which grounds the automatic approach bias in the natural meaning of the body. Second, we consider the “sensorimotor hypothesis,” which appeals to the specific sensorimotor loops involved in the instantiation of addictive behaviors as the basis of the automatic approach bias. In order to differentiate between the adequacies of these competing explanations, we present specific, predictions that each model should make. (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)

The paper attempts to clarify some conceptual, epistemological, and ontological issues connected with so?called psi phenomena. In part I an attempt is made to clarify the various ways in which the concept of psi may be used. The concept is tied to the concept of intentional content. Part II discusses how psi phenomena can be verified/falsified and in what sense parapsychology may be a scientific discipline in spite of there being no empirically well?founded theories about psi as such. In part (...) III an attempt is made to clarify the sense in which psi phenomena may support a dualist position and undermine a materialist position. It is argued that psi phenomena support some sort of dualist position. (shrink)

In its forty years of existence, Artificial Intelligence has suffered both from the exaggerated claims of those who saw it as the definitive solution of an ancestral dream — that of constructing an intelligent machine-and from its detractors, who described it as the latest fad worthy of quacks. Yet AI is still alive, well and blossoming, and has left a legacy of tools and applications almost unequalled by any other field-probably because, as the heir of Renaissance thought, it represents a (...) possible bridge between the humanities and the natural sciences, philosophy and neurophysiology, psychology and integrated circuits-including systems that today are taken for granted, such as the computer interface with mouse pointer and windows. This writing describes a few results of AI that have modified the scientific world, as well as the way a layman sees computers: thetechnology of programming languages, such asLISP-witness the unique excellence of academic departments that have contributed to them-thecomputing workstations-of which our modern PC is but a vulgarised descendant-theapplications to the educational field-e.g., the realisation of some ideas of genetic epistemology-and tointerdisciplinary philosophy-such as Hofstadter's associations between the arts and mathematics-and the use ofAI techniques in music and musicology. All this has led to a generalisation of AI towards Negrotti's overallTheory of the Artificial, which encompasses further specialisation such asartificial reality, artificial life, and applications ofneural networks among others. (shrink)

The intentional stance is the strategy of prediction and explanation that attributes beliefs, desires, and other states to systems and predicts future behavior from what it would be rational for an agent to do, given those beliefs and desires. Any system whose performance can be thus predicted and explained is an intentional system, whatever its innards. The strategy of treating parts of the world as intentional systems is the foundation of but is also exploited in artificial intelligence and cognitive science (...) more generally, as well as in evolutionary theory. An analysis of the role of the intentional stance and its presuppositions supports a naturalistic theory of mental states and events, their content or intentionality, and the relation between levels of explanation and neurophysiological or mechanistic levels of explanation. As such, the analysis of the intentional stance grounds a theory of the mind and its relation to the body. (shrink)

Phenomenologists such as Merleau?Ponty have argued that the ordinary teleological relation between an embodied agent and the world is neither ?subjective? nor ?cognitive?, i.e. that it is not normally mediated by a chain of explicit cognition occurring within a distinct mental subject. Yet, while this seems true from a first?person, phenomenological perspective, I argue that teleological forms of explanation require the ascription of Intentional states. Intentional states, however, are usually regarded as subjective, cognitive states. In order to reconcile the phenomenology (...) with the logic of teleology, I introduce the notion of ?body?intentionality?. I maintain that we can use a modified version of Jonathan Bennett's concept of a teleological law to specify third?person empirical criteria for a pre?cognitive, pre?subjective kind of Intentionality. I also argue that this notion of body?intentionality provides us with at least a partial solution to the mind?body problem that avoids the inadequacies of the computational theory of mind. (shrink)

In this paper I review some leading developments in the empirical theory of affect. I argue that (1) affect is a distinct perceptual representation governed system, and (2) that there are significant modular factors in affect. The paper concludes with the observation thatfeeler (affective perceptual system) may be a natural kind within cognitive science. The main purpose of the paper is to explore some hitherto unappreciated connections between the theory of affect and the computational theory of mind.

In this paper I link two hitherto disconnected sets of results in the philosophy of emotions and explore their implications for the computational theory of mind. The argument of the paper is that, for just the same reasons that some computationalists have thought that cognition may be a natural kind, so the same can plausibly be argued of emotion. The core of the argument is that emotions are a representation-governed phenomenon and that the explanation of how they figure in behaviour (...) must as such be undertaken in those terms. I conclude with some interdisciplinary reflections in defence of the hypothesis that emotions might be more fundamental in the organization of behaviour than cognition; that, in effect, we may be emoters before we are cognizers . The aim of the paper is: (1) to introduce a number of promising results in philosophical and empirical emotion theory to a wider audience; and (2) to begin the task of organizing those results into a computational theoretical framework. (shrink)

The paper is an examination of the ways and extent to which neuroscience places constraints on cognitive science. In Part I, I clarify the issue, as well as the notion of levels in cognitive inquiry. I then present and address, in Part II, two arguments designed to show that facts from neuroscience are at a level too low to constrain cognitive theory in any important sense. I argue, to the contrary, that there are several respects in which facts from neurophysiology (...) will constrain cognitive theory. Part III then turns to an examination of Connectionism and Classical Cognitivism to determine which, if either, is in a better position to accomodate neural constraints in the ways suggested in Part II. (shrink)

Is it true that if zombies---creatures who are behaviorally indistinguishable from us, but no more conscious than a rock-are logically possible, the computational conception of mind is false? Are zombies logically possible? Are they physically possible? This paper is a careful, sustained argument for affirmative answers to these three questions.

The dominant scientific and philosophical view of the mind – according to which, put starkly, cognition is computation – is refuted herein, via specification and defense of the following new argument: Computation is reversible; cognition isn't; ergo, cognition isn't computation. After presenting a sustained dialectic arising from this defense, we conclude with a brief preview of the view we would put in place of the cognition-is-computation doctrine.

The relationship of mind and matter is approached in a new way in this article. This approach is based on the causal interpretation of the quantum theory, in which an electron, for example, is regarded as an inseparable union of a particle and afield. This field has, however, some new properties that can be seen to be the main sources of the differences between the quantum theory and the classical (Newtonian) theory. These new properties suggest that the field may be (...) regarded as containing objective and active information, and that the activity of this information is similar in certain key ways to the activity of information in our ordinary subjective experience. The analogy between mind and matter is thus fairly close. This analogy leads to the proposal of the general outlines of a new theory of mind, matter, and their relationship, in which the basic notion is participation rather than interaction. Although the theory can be developed mathematically in more detail, the main emphasis here is to show qualitatively how it provides a way of thinking that does not divide mind from matter, and thus leads to a more coherent understanding of such questions than is possible in the common dualistic and reductionistic approaches. These ideas may be relevant to connectionist theories and might perhaps suggest new directions for their development. (shrink)

The relationship of mind and matter is approached in a new way in this article. This approach is based on the causal interpretation of the quantum theory, in which an electron, for example, is regarded as an inseparable union of a particle and afield. This field has, however, some new properties that can be seen to be the main sources of the differences between the quantum theory and the classical (Newtonian) theory. These new properties suggest that the field may be (...) regarded as containing objective and active information, and that the activity of this information is similar in certain key ways to the activity of information in our ordinary subjective experience. The analogy between mind and matter is thus fairly close. This analogy leads to the proposal of the general outlines of a new theory of mind, matter, and their relationship, in which the basic notion is participation rather than interaction. Although the theory can be developed mathematically in more detail, the main emphasis here is to show qualitatively how it provides a way of thinking that does not divide mind from matter, and thus leads to a more coherent understanding of such questions than is possible in the common dualistic and reductionistic approaches. These ideas may be relevant to connectionist theories and might perhaps suggest new directions for their development. (shrink)