Some contemporary philosophers suggest that we know just by introspection that folk psychological states exist. However, such an "armchair refutation" of eliminativism seems too easy. I first attack two strategems, inspired by Descartes, on how such a refutation might proceed. However, I concede that the Cartesian intuition that we have direct knowledge of representational states is very powerful. The rest of this paper then offers an error theory of how that intuition might really be mistaken. The idea is that introspection (...) does not detect any folk psychological states, but rather detects neural states that dispose us to certain sorts of linguistic behavior. Briefly, rather than detecting a mental appearance of the state-of-affairs that I am sitting near the fire, introspection detects a state disposing me to assert "It appears to me that I am sitting by the fire." The nature of this linguistic-dispositional state is then given a connectionist underpinning, where inputs from introspection lead to such assertive behavior. The Cartesian certainty we feel in self-ascribing such appearances is also explained. Even though I do not endorse such an error theory outright, I suggest that its tenability is enough to undercut introspection arguments against eliminativism. (shrink)

The death of Peter Winch in 1997 sparked a revived interest in his work with this book arguing his work suffered misrepresentation in both recent literature and in contemporary critiques of his writing. Debates in philosophy and sociology about foundational questions of social ontology and methodology often claim to have adequately incorporated and moved beyond Winch's concerns. Re-establishing a Winchian voice, the authors examine how such contentions involve a failure to understand central themes in Winch's writings and that the issues (...) which occupied him in his Idea of a Social Science and its Relation to Philosophy and later papers remain central to social studies. The volume offers a careful reading of the text in alliance with Wittgensteinian insights and alongside a focus on the nature and results of social thought and inquiry. It draws parallels with other movements in the social studies, notably ethnomethodology, to demonstrate how Winch's central claim is both more significant and more difficult to transcend than sociologists and philosophers have hitherto imagined. (shrink)

To a significant extent, mainstream Western philosophy is not empirically minded. The neurophilosophy of the Churchlands seems to exhibit the greatest divergence from this orientation by far. Extending and neuralizing Quine’s naturalism, the Churchlands have been known to challenge most assumptions and principles of contemporary mainstream analytic and even existing naturalistic philosophies. Even the philosophers who identify themselves as full-blown naturalists have an inexplicably negative attitude toward the Churchlands. For many philosophers of the mind, the Churchlands’ problem is not that (...) they are philosophically wrong, but that they have no philosophical approach that could be wrong. They are nonphilosophers working at philosophy departments. Proper philosophy is not what they do or think they are doing. In this article, I argue to the contrary. The Churchlands would seem surprisingly moderate, and neither trivial nor near-trivial, when closely scrutinized. (shrink)

At the beginning of the 20th century, Gestalt psychologists put forward the concept of psychoneural isomorphism, which was meant to replace Fechner’s obscure notion of psychophysical parallelism and provide a heuristics that may facilitate the search for the neural correlates of the mind. However, the concept has generated much confusion in the debate, and today its role is still unclear. In this contribution, I will attempt a little conceptual spadework in clarifying the concept of psychoneural isomorphism, focusing exclusively on conscious (...) visual perceptual experience and its neural correlates. Firstly, I will outline the history of our concept, and its alleged metaphysical and epistemic roles. Then, I will clarify the nature of isomorphism and rule out its metaphysical role. Finally, I will review some epistemic roles of our concept, zooming in on the work of Jean Petitot, and suggest that it does not play a relevant heuristic role. I conclude suggesting that psychoneural isomorphism might be an indicator of robustness for certain mathematical descriptions of perceptual content. (shrink)

This paper is divided into three sections. It aims to give some resources for making possible a straightforward debate on the mind-body problem as well as some serious researches in it. Having these goals into account, the first section offers an introduction to the mind-body problem and the second section explains briefly some of the most influential answers to this problem. The third section is devoted to eliminative materialism.

Current discussions on artificial intelligence, in both the theoretical and practical realms, contain a fundamental lack of clarity regarding the nature of artificial intelligence, perhaps due to the fact that the distinction between natural and artificial appears, at first sight, both intuitive and evident. Is AI something unnatural, non-human and therefore dangerous to humanity, or is it only a continuation of man’s natural tendency towards creativity? It is not surprising that from the philosophical point of view, this distinction is the (...) basic question that fundamentally affects all other considerations and conclusions pertaining to artificial intelligence. In this article, I would like to explain this difference and draw attention to some conclusions, which may result from a naturalistic perspective with regard to recent philosophical posthumanism. For this purpose, I present several examples of the natural–artificial distinction in the different fields of the philosophy of science and then discuss their implications for the problem of intelligence. Based on Dennett’s conception of intentionality and the naturalistic perspective, I demonstrate that besides the traditional conception, there is a non-anthropocentric evolutionary view in which the natural–artificial distinction disappears and it is possible to see a united process of intelligence creation. (shrink)

I offer a new argument for the elimination of ‘beliefs’ from cognitive science based on Wimsatt’s concept of robustness and a related concept of fragility. Theoretical entities are robust if multiple independent means of measurement produce invariant results in detecting them. Theoretical entities are fragile when multiple independent means of detecting them produce highly variant results. I argue that sufficiently fragile theoretical entities do not exist. Recent studies in psychology show radical variance between what self-report and non-verbal behaviour indicate about (...) participants’ beliefs. This is evidence that ‘belief’ is fragile, and is thus a strong candidate for elimination. 1 Introduction2 Robustness and Fragility2.1 A historical example of robustness2.2 Fragility and elimination3 The Received View4 Evidence for the Fragility of Belief4.1 Contamination and fragility4.2 Implicit association tests and fragility5 Attempts to Preserve the Belief Category for Cognitive Science5.1 Beliefs and aliefs5.2 Contradictory beliefs5.3 In-between beliefs and the unity assumption5.4 Belief sub-classes5.5 Self-deception6 Alternative Mental States7 Conclusion. (shrink)

The relationship between philosophy and science has always been complementary. Today, while science moves increasingly fast and philosophy shows some problems in catching up with it, it is not always possible to ignore such relationships, especially in some disciplines such as philosophy of mind, cognitive science, and neuroscience. However, the methodological procedures used to analyze these data are based on principles and assumptions that require a profound dialogue between philosophy and science. Following these ideas, this work aims to raise the (...) problems that a classical connectionist theory can cause and problematize them in a cognitive framework, considering both philosophy and cognitive sciences but also the disciplines that are near to them, such as AI, computer sciences, and linguistics. For this reason, we embarked on an analysis of both the computational and theoretical problems that connectionism currently has. The second aim of this work is to advocate for collaboration between neuroscience and philosophy of mind because the promotion of deeper multidisciplinarity seems necessary in order to solve connectionism’s problems. In fact, we believe that the problems that we detected can be solved by a thorough investigation at both a theoretical and an empirical level, and they do not represent an impasse but rather a starting point from which connectionism should learn and be updated while keeping its original and profoundly convincing core. (shrink)

We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...) signals; digital computation requires strings of digits. But current neuroscientific evidence indicates that typical neural signals, such as spike trains, are graded like continuous signals but are constituted by discrete functional elements (spikes); thus, typical neural signals are neither continuous signals nor strings of digits. It follows that neural computation is sui generis. Finally, we highlight three important consequences of a proper understanding of neural computation for the theory of cognition. First, understanding neural computation requires a specially designed mathematical theory (or theories) rather than the mathematical theories of analog or digital computation. Second, several popular views about neural computation turn out to be incorrect. Third, computational theories of cognition that rely on non-neural notions of computation ought to be replaced or reinterpreted in terms of neural computation. (shrink)

This paper inquires into the nature of intertheoretic relations between psychology and neuroscience. This relationship has been characterized by some as one in which psychological explanations eventually will fall away as otiose, overthrown completely by neurobiological ones. Against this view it will be argued that it squares poorly with scientific practices and empirical developments in the cognitive neurosciences. We analyse a case from research on visual perception, which suggests a much more subtle and complex interplay between psychology and neuroscience than (...) a complete take-over of the former by the latter. In the case of vision, cross-theory influences between psychology and neuroscience go back and forth, resulting in refinement in both disciplines.We interpret this case study as showing that:(1) Mutual co-evolution of psychological and neurobiological theories, exemplifying persisting top-down influences from psychology, is a more empirically adequate way to describe psychoneural theory relations than a view on co-evolution, favoured by reductionists, which regards the cross-theory contributions from psychology as merely heuristically useful with no enduring influence on neurobiological theorizing;(2) In research on vision, discovering (or hypothesizing) the neural basis of functions vindicates psychological approaches, it does not eliminate them;(3) Current work on vision shows that many perceptual phenomena must be understood in terms of dynamical interactions between an observer and his/her environment. Therefore, we argue that internalist characterizations of the visual system must be supplemented with externalist accounts that address these reciprocal observer-environment interactions involved in vision. Such processes seem quite different from (internal) cellular and molecular ones, and as such seem to lie outside the scope of neuroscientific inquiry. We conclude that psychoneural reduction or elimination is implausible as a meta-theoretical prediction of theory choice in empirical work. Instead, this case study of vision shows that both psychology and neuroscience contribute to, and complement one another in the study of visual perception. 1. Psychoneural reductionism1.1Introduction1.2New Wave Reductionism1.3NWR and psychology: three characteristics of psychoneural reductionism1.4NWR and the problem of mutual feedback1.4.1The ‘Mere Heuristics’ claim1.4.2The disappearance of psychology as an irrelevant historical accident1.5Summary: three claims of NWR on psychoneural reduction2. Vision: a case study2.1Introduction2.1.1Three opposing claims2.1.2Psychology and neuroscience of vision: the orthodoxy2.2Testing claim 1: vanishing heuristics or persisting influences?2.2.1From what and where to perception and action2.2.2Real co-evolution: more than vanishing heuristics2.2.3First moral2.3Testing claim 2: replacement or vindication?2.3.1Perception and action revisited: mapping approaches on systems2.3.2Vindicating psychological approaches2.3.3Second moral2.4Testing claim 3: equipotent image or explanatory loss?2.4.1Perception and action extended: including the environment2.4.2Distinguishing levels, widening explanations2.4.3Third moral3. Conclusion: three morals. (shrink)

Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell explanation for student learning in general. I argue that identifying the person with the brain is scientism (not science), that the brain is not the person, and that it is the (...) person who learns. In fact the brain only responds to the learning of embodied experience within the extra-neural network of intersubjective communications. Learning is a dynamic, cultural activity, not a neural program. Brain-based learning is unnecessary for educators and may be dangerous in that a culturally narrow ontology is taken for granted, thus restricting our creativity and imagination, and narrowing the human community. (shrink)

In contemporary Western culture, death has been widely censured because of its conceptual implications; it lies at the boundaries between reductionism and metaphysics. There is not yet an efficacious epistemology able to solve this contraposition and its consequent collision with science and tradition. This article analyzes Near Death Experiences as a prototypical argument in which the two perspectives conflict. Specifically, it analyzes the epistemological antinomies of the ontological representations of death, inhering in passage versus absolute annihilation. Indeed, the NDEs theme (...) permits the examination of the logical contradiction between monistic reductionism and its ontological counterpart to improve the discovery of a new paradigm that integrates the ecological with eternalist views. (shrink)

For three decades the writings of Jaegwon Kim have had a major influence in philosophy of mind and in metaphysics. Sixteen of his philosophical papers, together with several new postscripts, are collected in Kim [1993]. The publication of this collection prompts the present essay. After some preliminary remarks in the opening section, in Section 2 I will briefly describe Kim's philosophical 'big picture' about the relation between the mental and the physical. In Section 3 I will situate Kim's approach on (...) the larger philosophical landscape, vis-à-vis various other approaches frequently discussed in contemporary philosophy of mind. This comparative discussion will further illuminate Kim's own position, and also will serve as groundwork for subsequent discussion. In Section 4 I will point out certain persistent internal tensions in Kim's philosophical position on the mind--body problem, tensions that emerge especially clearly against the backdrop of Section 3's comparative discussion of Kim's position relative to various competing positions. In the remainder of the paper I will focus on two issues at the heart of his position, with particular attention to what he says about them in some of the more recent papers and the postscripts in Kim [1993]. First, how should a materialist understand the notion that the mental is 'determined' by the physical? More specifically, what role, if any, should be played by the concept of supervenience in explicating this kind of determination relation? Kim's views on this matter have recently changed, and I will discuss the issue with particular attention to his own latest remarks on it. This is the business of Section 5. Second, need a viable materialism assert that mentalistic psychology is reducible to neurobiology (and ultimately to physics)? More specifically, should a materialist insist on reducibility, despite the currently influential line of argument used by non-reductive materialists, the 'multiple realization' argument? On this matter too, Kim's views have changed somewhat; again, I will discuss the issue with particular attention to his recent thinking. This is the business of Section 6. (shrink)

Externalist representationalism is touted as a superior rival to naïve realism, and yet a careful analysis of the externalist representationalist's analysis of our ordinary perceptual experiences shows the view to be far closer to naïve realism than we might have expected. One of the central advertised benefits of representationalist views in general is that they are compatible with the idea that ordinary, illusory and hallucinatory perceptual experiences are of the same fundamental kind. Naïve realists are forced to deny the ‘common (...) fundamental kind claim’ and adopt disjunctivism. However, I argue that externalist representationalism is also a version of disjunctivism. Consequently, one of the main rivals to naïve realism turns out not to be a rival at all. (shrink)

There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within Marr’s three-level (...) of analysis framework and in light of a co-evolutionary research ideology. The first claim is established by elucidating the relationship between the tractability of a model, its descriptive accuracy, and its number of variables. The second claim relies on an explanation of what it can take to neurally inform an economic model of choice behaviour. 1 Introduction2 Neurally Informed Models of Choice: A Case Study2.1 A case study on risk-sensitive choice2.1.1 Target and modelling framework2.1.2 Research question and hypotheses2.1.3 Competitive models of risk-sensitive behaviour2.1.4 Model-based fMRI: from economics to brains and back2.2 Neurally informed modelling3 Tractability: When Does Size Matter?4 Neural Integration and the Co-evolutionary Research Ideology5 Conclusion. (shrink)