This chapter contains sections titled: * Two Versions of the Extended-Mind Thesis * Extended Systems and Christianity * Extended Cognition and Christianity * The Upshot * Conclusion * References * Further Reading.

My dissertation establishes the basis for a systematic outlook on the role language plays in human cognition. It is an investigation based on a cognitive conception of language, as opposed to communicative conceptions, viz. those that suppose that language plays no role in cognition. I focus, in Chapter 2, on three paradigmatic theories adopting this perspective, each offering different views on how language contributes to or changes cognition. -/- In Chapter 3, I criticize current views held by dual-process theorists, (...) and I develop a picture of the complex interaction between language and cognition that I deem more plausible by using resources from the literature on the evolution of the faculty of language. Rather than trying to find one general explanation for all cognitive processes, I take seriously the idea that our mind is composed of many subsystems, and that language can interact and modify each in different ways. There is no reason offered in the empirical literature—besides maybe parsimony—that suggest that language has to interact in the same ways with all cognitive processes. Yet, this is seemingly taken for granted, especially within dual-process approaches. -/- On my view, it is a central requirement for a theory of the role of language in cognition to explain how language might have effects, at once, on and within various parts of cognition. In Chapter 4, I explore how this framework can modify how we think about some experiments in psychology, specifically in research on categorization. My idea is that language, once it evolved, changed how some cognitive capacities worked and interacted with each other, but did so in more than one or two ways. Cognitive systems are changed in very different ways—sometimes the transformation is very subtle, such as our way of forming categories by using how similar objects are, while other times it is deep and changes the very way the system works. (shrink)

Common sense is on the one hand a certain set of processes of natural cognition - of speaking, reasoning, seeing, and so on. On the other hand common sense is a system of beliefs (of folk physics, folk psychology and so on). Over against both of these is the world of common sense, the world of objects to which the processes of natural cognition and the corresponding belief-contents standardly relate. What are the structures of this world? How does the scientific (...) treatment of this world relate to traditional and contemporary metaphysics and formal ontology? Can we embrace a thesis of common-sense realism to the effect that the world of common sense exists uniquely? Or must we adopt instead a position of cultural relativism which would assign distinct worlds of common sense to each group and epoch? The present paper draws on recent work in computer science (especially in the fields of naive and qualitative physics), in perceptual and developmental psychology, and in cognitive anthropology, in order to consider in a new light these and related questions and to draw conclusions for the methodology and philosophical foundations of the cognitive sciences. (shrink)

Wilfried Sieg. Formal Systems, Church Turing Thesis, and Gödel's Theorems: Three Contributions to The MIT Encyclopedias of Cognitive Science.

. The extended‐mind thesis is the claim that mentality need not be situated just in the brain, or even within the boundaries of the skin. Some versions take “extended selves” be to relatively transitory couplings of biological organisms and external resources. First, I show how EM can be seen as an extension of traditional views of mind. Then, after voicing a couple of qualms about EM, I reject EM in favor of a more modest hypothesis that recognizes enduring subjects of (...) experience and agents with integrated bodies. Nonetheless, my modest hypothesis allows subpersonal states to have nonbiological parts that play essential roles in cognitive processing. I present empirical warrant for this modest hypothesis and show how it leaves room for science and religion to coexist. (shrink)

The model of memory as a store, from which records can be retrieved, is taken for granted by many contemporary researchers. On this view, memories are stored by memory traces, which represent the original event and provide a causal link between that episode and one's ability to remember it. I argue that this seemingly plausible model leads to an unacceptable conception of the relationship between mind and brain, and that a non‐representational, connectionist, model offers a promising alternative. I also offer (...) a new reading of Wittgenstein's paradoxical remarks about thought and brain processes: as a critique of the cognitivist thesis that information stored in the brain has a linguistic structure and a particular location. On this reading, Wittgenstein's criticism foreshadows some of the most promising contemporary work on connectionist models of neural functioning. (shrink)

One might interpret the locution “the phenomenological mind” as a declaration of a philosophical thesis that the mind is in some sense essentially phenomenological. Authors Gallagher & Zahavi appear to have intended it, however, to refer more to the phenomenological tradition and its methods of analysis. From the subheading of this book, one gains an impression that readers will see how the resources and perspectives from the phenomenological tradition illuminate various issues in philosophy of mind and cognitive science (...) in particular. This impression is reinforced upon finding that many analytic philosophers’ names appear throughout the book. That appearance notwithstanding, as well as the distinctiveness of the book as an introduction, the authors do not sufficiently engage with analytic philosophy. (shrink)

Although Wittgenstein’s influence on logic and foundations of mathematics is well recognized, nonetheless, his legacy concerning other sciences is much less elucidated, and in this article we aim at shedding new light on physics, artificial intelligence, and cognitive science from a Wittgensteinian perspective. We focus upon three issues amongst other things: the Chosmky versus Norvig debate on the nature of language; a Neo-Kantian parallelism between Bohr’s philosophy of physics and Hilbert’s philosophy of mathematics; the relationships between cognitive (...) contextuality and physical contextuality as shown by recent Bell-type results. The Chosmky versus Norvig debate may be seen as a battle between Wittgenstein’s earlier and later conceptions of meaning, i.e., picture theory and use theory. From a Wittgensteinian point of view, quantum physics may be seen as a physical version of the Linguistic Turn. The parallelism between Bohr’s philosophy of classical concepts and Hilbert’s philosophy of finitism builds upon transcendental philosophy in the Kantian tradition, both Bohr and Hilbert having been influenced by Neo-Kantian thinkers, such as Hertz, whose sign theory is actually a common root of Wittgenstein’s picture theory and Hilbert’s axiomatics. Wittgenstein is considered a root of contextualism in contemporary philosophy. Contextuality has different manifestations in physics and cognitive science, and contextuality studies across the sciences are rapidly developing in cutting-edge research. We elucidate both analogies and disanalogies between contextuality of reality and contextuality of reason in terms of the nature of probabilities involved. In passing, we also give a reformulation of Penrose’s quantum mind thesis. (shrink)

Although Wittgenstein’s influence on logic and foundations of mathematics is well recognized, nonetheless, his legacy concerning other sciences is much less elucidated, and in this article we aim at shedding new light on physics, artificial intelligence, and cognitive science from a Wittgensteinian perspective. We focus upon three issues amongst other things: the Chosmky versus Norvig debate on the nature of language; a Neo-Kantian parallelism between Bohr’s philosophy of physics and Hilbert’s philosophy of mathematics; the relationships between cognitive (...) contextuality and physical contextuality as shown by recent Bell-type results. The Chosmky versus Norvig debate may be seen as a battle between Wittgenstein’s earlier and later conceptions of meaning, i.e., picture theory and use theory. From a Wittgensteinian point of view, quantum physics may be seen as a physical version of the Linguistic Turn. The parallelism between Bohr’s philosophy of classical concepts and Hilbert’s philosophy of finitism builds upon transcendental philosophy in the Kantian tradition, both Bohr and Hilbert having been influenced by Neo-Kantian thinkers, such as Hertz, whose sign theory is actually a common root of Wittgenstein’s picture theory and Hilbert’s axiomatics. Wittgenstein is considered a root of contextualism in contemporary philosophy. Contextuality has different manifestations in physics and cognitive science, and contextuality studies across the sciences are rapidly developing in cutting-edge research. We elucidate both analogies and disanalogies between contextuality of reality and contextuality of reason in terms of the nature of probabilities involved. In passing, we also give a reformulation of Penrose’s quantum mind thesis. (shrink)

Stanley and Williamson have defended the intellectualist thesis that knowing-how is a subspecies of knowing-that by appeal to the syntax and semantics of ascriptions of knowing-how. Critics have objected that this way of defending intellectualism places undue weight on linguistic considerations and fails to give sufficient attention to empirical considerations from the scientific study of the mind. In this paper, I examine and reject Stanley's recent attempt to answer the critics.

In this paper we discuss the new Tweety puzzle. The original Tweety puzzle was addressed by approaches in non-monotonic logic, which aim to adequately represent the Tweety case, namely that Tweety is a penguin and, thus, an exceptional bird, which cannot fly, although in general birds can fly. The new Tweety puzzle is intended as a challenge for probabilistic theories of epistemic states. In the first part of the paper we argue against monistic Bayesians, who assume that epistemic states can (...) at any given time be adequately described by a single subjective probability function. We show that monistic Bayesians cannot provide an adequate solution to the new Tweety puzzle, because this requires one to refer to a frequency-based probability function. We conclude that monistic Bayesianism cannot be a fully adequate theory of epistemic states. In the second part we describe an empirical study, which provides support for the thesis that monistic Bayesianism is also inadequate as a descriptive theory of cognitive states. In the final part of the paper we criticize Bayesian approaches in cognitive science, insofar as their monistic tendency cannot adequately address the new Tweety puzzle. We, further, argue against monistic Bayesianism in cognitive science by means of a case study. In this case study we show that Oaksford and Chater’s (2007, 2008) model of conditional inference—contrary to the authors’ theoretical position—has to refer also to a frequency-based probability function. (shrink)

This is a book about the nature of film: about the nature of moving images, about the viewer's relation to film, and about the kinds of narrative that film is capable of presenting. It represents a very decisive break with the semiotic and psychoanalytic theories of film which have dominated discussion. The central thesis is that film is essentially a pictorial medium and that the movement of film images is real rather than illusory. A general theory of pictorial representation is (...) presented, which insists on the realism of pictures and the impossibility of assimilating them to language. It criticizes attempts to explain the psychology of film viewing in terms of the viewer's imaginary occupation of a position within the world of film. On the contrary, film viewing is nearly always impersonal. (shrink)

Some debates about the role of non-epistemic values in science discuss the so-called Value-Free Ideal together with the autonomy thesis, to the point that they may be assumed to be intertwined. As I will argue in this article, the two are independent from one another, are supported by different arguments, and ought to be disentangled. I will also show that the arguments against value-freedom and supporting a value-laden conception of science, are different from the arguments against autonomy, which (...) support democratized science. Moreover, while some of the arguments against autonomy and for democratized science may actually be consistent with value-freedom, they conflict with some philosophical views about the internal diversity of well-designed epistemic communities. This article distinguishes the Value-Free Ideal and the autonomy thesis, as well as their antitheses, and investigates their relations to some of the socio-epistemological models of the social organization of scientific research. Its aim is to make explicit some incompatibilities between different normative frameworks developed in philosophy of science. (shrink)

The ‘extended mind’ thesis asserts that cognitive processes are not bound by the skull or even skin of biological individuals, but actively incorporate environmental structures such as symbols, tools, artifacts, media, cultural practices, norms, groups, or institutions. By distributing cognition across space, time, and people in canny ways, we circumvent or overcome the biological limitations of our brains. Human beings are creative, albeit opportunistic experts in cognitive ‘self-transcendence.’ This entry surveys discussions of EM in philosophy of mind and (...) cognitive science which point to this overarching theme. (shrink)

Several philosophers have expressed concerns with some recent uses of the term ‘cognition’. Underlying a number of these concerns are claims that cognition is only located in the brain and that no compelling case has been made to use ‘cognition’ in any way other than as a cause of behavior that is representational in nature. These concerns center on two primary misapprehensions: First, that some adherents of dynamical cognitive science think DCS implies the thesis of extended cognition and (...) the rejection of representation, and second, that cognition is mistakenly equated with behavior. We make three points in response to these claims: First, there is no thoroughly entrenched conception of cognition as distinct from behavior that is being illegitimately disregarded. Second, we present Shapiro’s exposition of dynamical systems theory as revealing a misunderstanding of the way that dynamical models are used in explanations of cognition and related phenomena. Accordingly, a proper conception of DCS’s methods facilitates an appreciation of extended cognition as a legitimate phenomenon of scientific investigation. Finally, we demonstrate that practicing cognitive scientists and psychologists are far more pluralistic in the phenomena they apply ‘cognition’ to than is suggested by some. At the heart of our disagreement with these concerned folks is that although we think it likely that some cognitive phenomena are representational, non-extended, and only in-between the ears, we also think there are good conceptual and empirical reasons to believe that many cognitive phenomena are non-representational, extended, and not confined to the brain. (shrink)

John Searle believes that computational properties are purely formal and that consequently, computational properties are not intrinsic, empirically discoverable, nor causal; and therefore, that an entity’s having certain computational properties could not be sufficient for its having certain mental properties. To make his case, Searle’s employs an argument that had been used before him by Max Newman, against Russell’s structuralism; one that Russell himself considered fatal to his own position. This paper formulates a not-so-explored version of Searle’s problem with computational (...) cognitive science, and refutes it by suggesting how our understanding of computation is far from implying the structuralism Searle vitally attributes to it. On the way, I formulate and argue for a thesis that strengthens Newman’s case against Russell’s structuralism, and thus raises the apparent risk for computational cognitive science too. (shrink)

In recent decades cognitive science has revolutionised our understanding of the workings of the human mind. Philosophy has made a major contribution to cognitive science and has itself been hugely influenced by its development. This dynamic book explores the philosophical significance of cognitive science and examines the central debates that have enlivened its history. In a wide-ranging and comprehensive account of the topic, philosopher M.J. Cain discusses the historical origins of cognitive science (...) and its philosophical underpinnings; the nature and role of representations in cognition; the architecture of the mind and the modularity thesis; the nature of concepts; knowledge of language and its acquisition; perception; and the relationship between the brain and cognition. Cain draws upon an extensive knowledge of empirical developments and their philosophical interpretation. He argues that although the field has generated some challenging new views in recent years, many of the core ideas that initiated its birth are still to be taken seriously. Clearly written and incisively argued, The Philosophy of Cognitive Science will appeal to any student or researcher interested in the workings of the mind. (shrink)

While the extended cognition (EC) thesis has gained more followers in cognitive science and in the philosophy of mind and knowledge, our main goal is to discuss a different area of significance of the EC thesis: its relation to philosophy of science. In this introduction, we outline two major areas: (I) The role of the thesis for issues in the philosophy of cognitive science, such as: How do notions of EC figure in theories or research (...) programs in cognitive science? Which versions of the EC thesis appear, and with which arguments to support them? (II) The potentials and limits of the EC thesis for topics in general philosophy of science, such as: Can naturalism perhaps be further advanced by means of the more recent EC thesis? Can we understand “big science” or laboratory research better by invoking some version of EC? And can the EC thesis help in overcoming the notorious cognitive/social divide in science studies? (shrink)

In this analysis, I address the recent debate over the functional characteristics of mental imagery, in which the question is whether the format for imagistic representation is pictorial or sentential. I offer an account of imagery and cognition as an important aspect of the theory of mental representation, one which serves as a test for prevalent views of the nature of explanation in cognitive science. ;The first chapter articulates a functionalist theory of internal states. I argue for the (...) need to individuate mental states by virtue of their formal features, but in a way which is consistent with the fact that natural representational systems are self-interpreting. To that end, I describe a basic capacity for imaging which underlies any mental representation. ;In the second chapter, I discuss recent experiments and argue that a correct interpretation of the data cannot be determined on methodological grounds. The substantive argument against mental pictures is set forth and shown to rest upon two distinct assumptions. ;The third chapter aims to show that the argument that mental pictures are inherently ambiguous fails as an argument for an exclusively sentential format. I argue further that sentential states alone are insufficient to account for all rational behavior. The conclusion is that conceptual considerations do not preclude nondiscursive images, and a view of cognition as broader than computation favors them. I propose a logical foundation for an account of access to mental images-under-descriptions. ;The fourth chapter sets forth principles governing operations in which images might occur naturally. I argue that such an account depends upon the possibility of pictorial attitudes, mental features which are theoretically important for the notion of representational competence. ;In the fifth chapter, I show the relevance of the general account described in the previous chapter by applying it to diverse contexts: animal representation, hypothesis in perception, and self-representation. (shrink)

Context sensitivity is one of the distinctive marks of human intelligence. Understanding the flexible way in which humans think and act in a potentially infinite number of circumstances, even though they’re only finite and limited beings, is a central challenge for the philosophy of mind and cognitive science, particularly in the case of those using representational theories. In this work, the frame problem, that is, the challenge of explaining how human cognition efficiently acknowledges what is relevant from what (...) is not in each context, has been adopted as a guide. By using it, we’ve been able to describe a fundamental tension between context sensitivity and the mental representations used in cognition theories. The first chapter discusses the nature of the frame problem,as well as the reasons for its persistence. In the second and third chapters, the problem is used as a measure tool in order to inquiry a few representational approaches and check how well suited they are to deal with context dependencies. The problems found are then correlated with the frame problem. Throughout the discussion, we try to show that 1) none of the evaluated approaches is capable of dealing with context sensitivity in a proper manner, but 2) that’s not a reason to think that the frame problem constitutes an argument against representational approaches in general, and 3) that it constitutes a fundamental conceptual tool in contemporary research -/- A sensibilidade ao contexto é uma das marcas distintivas da inteligência humana. Compreender o modo flexível como o ser humano pensa e age em função de um número potencialmente infinito de circunstâncias, ainda que munido de recursos finitos e limitados, é um desafio central para a filosofia da mente e para a ciência cognitiva, em particular aos que fazem uso de teorias representacionalistas. Nesse trabalho, adotou-se como fio condutor o modo como isso se manifesta no "frame problem": a dificuldade em explicar como a cognição humana reconhece, de maneira eficiente, o que é ou não relevante em cada contexto. A partir dele, buscou-se caracterizar uma tensão fundamental entre a sensibilidade ao contexto e o uso de representações mentais em teorias da cognição. O primeiro capítulo discute a natureza do frame problem, bem como as razões de sua resiliência. No segundo e terceiro capítulos, faz-se uso do problema como métrica para investigar o quão adequado é o tratamento das dependências contextuais no âmbito de várias abordagens representacionais. No decorrer da discussão, realiza-se um esforço argumentativo para mostrar que 1) nenhuma das estratégias abordadas é capaz tratar adequadamente da sensibilidade ao contexto, mas que 2) apesar disso, o frame problem não constitui argumento fatal para teorias representacionalistas em geral, e que 3) ele constitui uma ferramenta conceitual fundamental para pesquisas contemporâneas. (shrink)

Quine is usually read as arguing either for a non-factualism about analyticity (1) ... Or, at the very least, for an error thesis about it: (2) ... These attributions — including the stronger non-factualist thesis — seem licensed by many passages, including the famous one which concludes Quine's discussion in "Two Dogmas" ... Nevertheless, Paul Horwich does not wish to read Quine as endorsing either (1) or (2). He certainly does not wish to attribute (1) to him. And he wishes (...) to attribute only a restricted version of (2). What this restriction is and why Paul wants to make it are matters I'll come to in just a moment. (shrink)

Throughout his career, Michael Bratman has developed a detailed model of individual ‘planning agency’, and, more recently, models of joint action and aspects of social life that he argues such planning agency helps support. How might we empirically investigate whether these models capture what is going on in actual human lives? In this article, we critically engage with this broad question by focusing on what Bratman calls the ‘core capacity thesis’, which is at the center of his most recent discussions (...) of how his work in the philosophy of action hangs together. In his own words, the core capacity thesis claims that ‘our capacity for planning agency plays basic roles in multiple, interrelated systems of human, mind-shaped practical organization, individual and social’. We explore how one might go about testing this thesis, focusing on Bratman's particular way of defending this thesis using the idea of ‘nested Cummins functions’. In so doing, we hope to contribute to a broader discussion about what the relationship is (or, perhaps more importantly, should be) between the kind of philosophy of action Bratman does and empirical work in fields such as psychology, cognitive science, and biology. (shrink)

Many who advocate dynamical systems approaches to cognitive science believe themselves committed to the thesis of extended cognition and to the rejection of representation. I argue that this belief is false. In part, this misapprehension rests on a warrantless re-conception of cognition as intelligent behavior. In part also, it rests on thinking that conceptual issues can be resolved empirically. Once these issues are sorted out, the way is cleared for a dynamical systems approach to cognition that is free (...) to retain the standard conception of cognition as taking place in the head, and over representations. (shrink)

In this article I take an unusual starting point from which to argue for a unified cognitive science, namely a position defined by what is sometimes called the ‘life-mind continuity thesis’. Accordingly, rather than taking a widely accepted starting point for granted and using it in order to propose answers to some well defined questions, I must first establish that the idea of life-mind continuity can amount to a proper starting point at all. To begin with, I therefore (...) assess the conceptual tools which are available to construct a theory of mind on this basis. By drawing on insights from a variety of disciplines, especially from a combination of existential phenomenology and organism-centered biology, I argue that mind can indeed be conceived as rooted in life, but only if we accept at the same time that social interaction plays a constitutive role for our cognitive capacities. (shrink)

Cognitive science has been beset for thirty years by foundational disputes about the nature and extension of cognition—e.g. whether cognition is necessarily representational, whether cognitive processes extend outside the brain or body, and whether plants or microbes have them. Whereas previous philosophical work aimed to settle these disputes, I aim to understand what conception of cognition scientists could share given that they disagree so fundamentally. To this end, I develop a number of variations on traditional conceptual explication, (...) and defend a novel explication of cognition called the sensitive management hypothesis. -/- Since expert judgments about the extension of “cognition” vary so much, I argue that there is value in explication that accurately models the variance in judgments rather than taking sides or treating that variance as noise. I say of explications that accomplish this that they are ecumenically extensionally adequate. Thus, rather than adjudicating whether, say, plants can have cognitive processes like humans, an ecumenically adequate explication should classify these cases differently: human cognitive processes as paradigmatically cognitive, and plant processes as controversially cognitive. -/- I achieve ecumenical adequacy by articulating conceptual explications with parameters, or terms that can be assigned a number of distinct interpretations based on the background commitments of participants in a discourse. For example, an explication might require that cognition cause “behavior,” and imply that plant processes are cognitive or not depending on whether anything plants do can be considered “behavior.” Parameterization provides a unified treatment of embattled concepts by isolating topics of disagreement in a small number of parameters. -/- I incorporate these innovations into an account on which cognition is the “sensitive management of organismal behavior.” The sensitive management hypothesis is ecumenically extensionally adequate, accurately classifying a broad variety of cases as paradigmatically or controversially cognitive phenomena. I also describe an extremely permissive version of the sensitive management hypothesis, arguing that it has the potential to explain several features of cognitive scientific discourse, including various facts about the way cognitive scientists ascribe representations to cognitive systems. (shrink)

Heuristics are often invoked in the philosophical, psychological, and cognitive science literatures to describe or explain methodological techniques or "shortcut" mental operations that help in inference, decision-making, and problem-solving. Yet there has been surprisingly little philosophical work done on the nature of heuristics and heuristic reasoning, and a close inspection of the way(s) in which "heuristic" is used throughout the literature reveals a vagueness and uncertainty with respect to what heuristics are and their role in cognition. This dissertation (...) seeks to remedy this situation by motivating philosophical inquiry into heuristics and heuristic reasoning, and then advancing a theory of how heuristics operate in cognition. I develop a positive working characterization of heuristics that is coherent and robust enough to account for a broad range of phenomena in reasoning and inference, and makes sense of empirical data in a systematic way. I then illustrate the work this characterization does by considering the sorts of problems that many philosophers believe heuristics solve, namely those resulting from the so-called frame problem. Considering the frame problem motivates the need to gain a better understanding of how heuristics work and the cognitive structures over which they operate. I develop a general theory of cognition which I argue underwrites the heuristic operations that concern this dissertation. I argue that heuristics operate over highly organized systems of knowledge, and I offer a cognitive architecture to accommodate this view. I then provide an account of the systems of knowledge that heuristics are supposed to operate over, in which I suggest that such systems of knowledge are concepts. The upshot, then, is that heuristics operate over concepts. I argue, however, that heuristics do not operate over conceptual content, but over metainformational relations between activated and primed concepts and their contents. Finally, to show that my thesis is empirically adequate, I consider empirical evidence on heuristic reasoning and argue that my account of heuristics explains the data. (shrink)

There are currently considerable confusion and disarray about just how we should view computationalism, connectionism and dynamicism as explanatory frameworks in cognitive science. A key source of this ongoing conflict among the central paradigms in cognitive science is an equivocation on the notion of computation simpliciter. ‘Computation’ is construed differently by computationalism, connectionism, dynamicism and computational neuroscience. I claim that these central paradigms, properly understood, can contribute to an integrated cognitive science. Yet, before this (...) claim can be defended, a better understanding of ‘computation’ is required. ‘Digital computation’ is an ambiguous concept. It is not just the classical dichotomy between analogue and digital computation that is the basis for the equivocation on ‘computation’ simpliciter in cognitive science, but also the diversity of extant accounts of digital computation. There are many answers on what it takes for a system to perform digital computation. Answers to this problem range from Turing machine computation, through the formal manipulation of symbols, the execution of algorithms and others, to the strong-pancomputational thesis, according to which every physical system computes every Turing-computable function. Despite some overlap among them, extant accounts of concrete digital computation are non-equivalent, thus, rendering ‘digital computation’ ambiguous. The objective of this dissertation is twofold. First, it is to promote a clearer understanding of concrete digital computation. Accordingly, my main thesis is that not only are extant accounts of concrete digital computation non-equivalent, but most of them are inadequate. I show that these accounts are not just intensionally different (this is quite trivially the case), but also extensionally distinct. In the course of examining several key accounts of concrete digital computation, I propose the instructional information processing account, according to which digital computation is the processing of discrete data in accordance with finite instructional information. The second objective is to establish the foundational role of computation in cognitive science whilst rejecting the purported representational nature of computation. (shrink)

John Searle believes that computational properties are purely formal and that consequently, computational properties are not intrinsic, empirically discoverable, nor causal; and therefore, that an entity’s having certain computational properties could not be sufficient for its having certain mental properties. To make his case, Searle employs an argument that had been used before him by Max Newman, against Russell’s structuralism; one that Russell himself considered fatal to his own position. This paper formulates a not-so-explored version of Searle’s problem with computational (...) cognitive science, and refutes it by suggesting how our understanding of computation is far from implying the structuralism Searle vitally attributes to it. On the way, I formulate and argue for a thesis that strengthens Newman’s case against Russell’s structuralism, and thus raises the apparent risk for computational cognitive science too. (shrink)

In this paper, I discuss the strong thesis of cognitive penetrability (CPs), to wit, th at the perceptual states (P) of a subject (S) are pervasively influenced, affected, or caused by cognitive factors (C) as expectations, memories, thoughts, goals, and so on, at all levels of perceptual processing. I argue that following the predictive coding models of perception (PC), the strong thesis of cognitive penetrability is to be expected.

This paper explains why Clark’s Extended Mind thesis is not capable of sufficiently grasping how and in what sense external objects and technical artifacts can become part of our human cognition. According to the author, this is because a pivotal distinction between inside and outside is preserved in the Extended Mind theorist’s account of the relation between the human organism and the world of external objects and artifacts, a distinction which they proclaim to have overcome. Inspired by Charles S. Peirce’s (...) philosophy of mind, in particular, the author tries to find a way out of this ‘inside–outside’ fallacy. External objects, artifacts or processes should, according to him, not be conceived as inanimate and unintelligent matter utilised by a separately living, inner mental sphere that has set certain pre-established goals for itself. Mind has rather an artifactual character. It is not extended by an inner biological cognitive core but rather unfolds itself through objects and artifacts. Mind as such is, especially in our modern technological culture, shaped by virtue of and through technical artifacts. Recognizing this artifactual dimension of mind will, the author concludes, enable a more critical analysis of contemporary claims that ascribe certain original and irreducible features to thinking. (shrink)

The observation that humans are often irrational has become commonplace. This observation has received empirical support from various experiments performed by cognitive scientists that are supposed to show that humans systematically violate principles of probability, rules of logic, and other norms of reasoning. In response to these experiments, philosophers have made creative and appealing arguments that these experiments must be mistaken or misinterpreted because humans must be rational. I examine these arguments for human rationality and show that they fail; (...) cognitive science does play a role in assessing human rationality. ;In Chapter One, I examine three cognitive science experiments in detail and discuss what is at issue in the debate about human rationality. At issue is whether the mistakes humans make are mere mistakes or indicative of systematic divergences from norms of reasoning. Defenders of human rationality say these mistakes are not characteristic of underlying reasoning abilities but are performance errors. Because humans make performance errors, human reasoning ability cannot be read off of behavior, but rather is to be studied by exploring cognitive competence, the underlying ability to reason. ;In Chapter Two, I develop and discuss the notion of cognitive competence. I then consider and reject two arguments that human cognitive competence must match the norms of reasoning. The first argument appeals to simplicity considerations, the second to the supposed common origin of our cognitive competence and our normative standards. In Chapter Three, I turn to a related argument for a view that humans are rational that says cognitive competence is discovered in the same way norms of reasoning are justified: both projects involve reflective equilibrium using as data people's judgments about what counts as good reasoning. ;In Chapter Four, I consider an argument for human rationality that draws on the principle of charity: when translating utterances of a speaker, one should try to interpret her utterances as rational and true. ;In Chapter Five, I consider an argument for human rationality that appeals to evolution. This argument claims that natural selection will select for cognitive mechanisms that produce true beliefs, and that such "truth-tropic" mechanisms are sufficient for being rational. ;My overall conclusion is that while cognitive science does not determine what the normative principles of reasoning are, it is relevant to whether or not human cognitive competence matches these principles; whether or not humans are irrational is, thus, an empirical question. (shrink)

The aim of Stich's book is to further the controversial thesis that the conceptual framework of ‘folk’ psychology will have no significant role to play in a mature cognitive science. Skepticism about the scientific relevance of folk psychology has been voiced by others ; but Stich's critique is both novel and more fully developed than earlier ones. The charge is not–-or not simply–-that ‘folk theory’ is a “degenerating paradigm“, or that, in general, the constructs of folk theory fail (...) to refer altogether. Stich's thesis is subtler, and rests on the claim that the individuation of folk-psychological states is irremediably vague and context-and-observer relative in a way that makes a folk-psychological taxonomy ill-suited to the requirements of scientific explanation and systematization. Stich, of course, does not reject mentalism as such, as did the behaviorists: he merely rejects the assumption–-often tacitly accepted by cognitive scientists and by their philosophical interpreters–-that the mental states posited by a mature cognitive science will essentially correspond to the intentional, propositional attitude states of folk psychology. Thus, for Stich, there is no reason to suppose that cognitive science will turn out to be a sophisticated extension of folk psychology. The “Panglossian prospect” of a conceptual reunification of the scientific image of mind with the ‘manifest’ image under the banner of cognitivism is just what this book calls into question. (shrink)

Computational properties, it is standardly assumed, are to be sharply distinguished from semantic properties. Specifically, while it is standardly assumed that the semantic properties of a cognitive system are externally or non-individualistically individuated, computational properties are supposed to be individualistic and internal. Yet some philosophers (e.g., Tyler Burge) argue that content impacts computation, and further, that environmental factors impact computation. Oron Shagrir has recently argued for these theses in a novel way, and gave them novel interpretations. In this paper (...) I present a conception of computation in cognitive science that takes Shagrir's conception as its starting point, but further develops it in various directions and strengthens it. I argue that the explanatory role of computational properties emerges from the idea that syntactical properties and the relevant external factors presented by cognitive systems compose wide computational properties. I also elaborate upon the notion of content that is in play, and argue that it is contents of the kind that are ascribed by transparent interpretations of content ascriptions that impact computation. This fact enables the thesis that external factors impact computation to rebuff the challenge which concerns the claim that psychology must be individualistic. (shrink)

This thesis argues that Heidegger’s accounts of practice and temporality in Being and Time are inseparable, and demonstrates the importance of temporality for contemporary dialogues between Heideggerian phenomenology and cognitive science. It proposes that enactive and action-oriented models of cognition are best suited to engaging with a Heideggerian view of the temporality of practice, and will benefit from the latter’s capacity to explain the purposive self-concern, possibility-directedness, and varying complexity of cognition in richly temporal terms. I begin by (...) showing that Heidegger’s account places temporality and practice in a complex reciprocity in which each fundamentally shapes and permeates the other. The Heidegger of Being and Time conceptualises practice as fundamentally temporal and temporality as intrinsically purposive, meaning that we cannot adequately understand or utilise his analysis of either structure without acknowledging the role of the other. In outlining and defending this reading, I draw out two characteristics of Heidegger’s model of temporality; these features, which affect and are affected by the interconnection of temporality and purposiveness, are an inherent connection to the self-concern of the entity and an emphasis upon a radically indeterminate futurity. I then consider which contemporary approaches in cognitive science represent the most promising interlocutors for this temporality-oriented Heideggerian perspective. After rejecting selected in principle objections to the pursuit of a collaborative, rather than primarily critical, dialogue between Heideggerian phenomenology and cognitive science, I put forward two candidates for participation in a ‘temporality-oriented Heideggerian cognitive science’: the enactivist tradition and Michael Wheeler’s model of cognition. I set out each approach’s connections to Heideggerian thought (which involves arguing for as-yet unexplored links as well as defending existing ones) before showing how and why a Heideggerian conception of temporality can be integrated into both. I suggest that the structures of a Heideggerian model of temporality already resonate with and operate in enactivists’ and Wheeler’s analyses of cognition, and outline how I think each framework benefits from explicitly taking up and developing these connections. Rather than ultimately choosing one of these perspectives over the other, I conclude by proposing that they cooperate with one another. A Heideggerian conception of temporality opens up a space for enactivism and Wheeler’s approach to contribute distinct and complementary insights in the pursuit of a collaborative temporality-oriented Heideggerian cognitive science. (shrink)

Most of this work is concerned with two theories that underlie cognitive science; theories which I call "the representational theory of intentionality" and "the computational theory of cognition" . While the representational theory of intentionality asserts that mental states are about the world in virtue of a representation relation between the world and the state, the computational theory of cognition asserts that humans and others perform cognitive tasks by computing functions on these representations. CTC draws upon a (...) rich analogy between the mind and digital computers, portraying cognizers as receiving input and generating outputs . ;Since researchers within cognitive science--especially within cognitive psychology, computer science, and philosophy of mind--share a common theoretic background in their adherence to the combination of RTI and CTC, what I call "computationalism" most of the work done in philosophy of mind has been aimed at either refuting or further articulating these two theories. This work is strongly within that tradition. ;RTI and CTC combine to create an explanatory framework for explanation in cognitive science. In this work, I seek to delineate the exact structure of this framework, to determine its components and their overall relationships. In my mind, this involves making implicit aspects of computational explanation explicit, providing an overall rationale for the various components and their relationships, and defending that rationale against criticism. ;In particular, the project of this work is to argue that computationalist explanations of cognition within cognitive science need to make appeals to both representation and knowledge; to distinguish the respective roles of knowledge and of representation in an overall picture of computational explanations, and to develop and argue for definitions of representation and knowledge that would allow those concepts to play their respective roles within computational explanations in cognitive science. ;The first half of this work , therefore, is devoted to theories of representation, especially to the need for, and role of representation in computational explanations. The first half of the work culminates in chapter three with a definition of representation and a picture of the structure of computational explanations. The second half of the project then becomes to generate a definition of knowledge that defines knowledge in non-epistemic language amenable to computationalism and that carries the epistemic burdens placed upon knowledge by its use in computational explanations, as well as to offer a limited defence of that definition within the framework of traditional epistemology. (shrink)

Imagine you are the CEO of a hospital [. . .]. Decisions are constantly being made in your organization about how to spend the organization's money. The amount of money available to spend is never adequate to pay for everything you wish you could spend it on, therefore you must set spending priorities. There are two questions you need to be able to answer . . . How should we set priorities in this organization? How do we know when we (...) are doing it well? When people seek to achieve good public policy, the result will tend to be good public policy. In a collective choice process, public‐spirited individual participants produce good public policy by deliberating—talking with each other, listening to each other's arguments, and being willing to learn and change their minds based on such dialogue. –Steven Kelman (1992: 181) Public policy scholars agree that those persons (or agencies) vested with the authority to establish health care priorities should elicit public input before making rationing decisions. The two most common approaches are (i) consultation and (ii) deliberation. Though deliberation has obvious advantages over consultation, it falters in the face of the objection that ordinary citizens lack the cognitive resources for the extended, rigorous inquiry required of them in undertaking the priority‐setting task. To overcome this objection, I propose that deliberative forums for health care rationing should be designed so that they imitate the natural pattern of human experience. The experience of deliberation should encompass both prolonged periods of less‐demanding cognitive activity, in which citizens passively receive information, and briefer periods of more‐demanding cognitive activity, in which they engage in active problem‐solving. In arguing for this thesis, I rely on two theoretical sources and one practical case study, in the following order: (i) John Dewey's metaphysics of experience, (ii) cognitive science research on schemas and frames, and (iii) the Health Care Council in São Paulo, Brazil. (shrink)

This chapter evaluates which approach within 4E cognition is in a better position to offer a research program and a scientific framework for the embodied and situated cognitive sciences that could outcompete cognitivism once and for all. The main thesis of this work is that ecological psychology is in a better position to develop that scientific framework. This is because enactivism can be defined as a philosophy of nature rather than a scientific framework with its own research program (following (...) Gallagher, 2017). This means that enaction did not develop its own scientific methods, models, and metrics for human in vivo experimentation, which are key aspects in order to offer a whole new scientifically feasible foundation of a new science of the mind from a purely embodied and situated perspective. Although I agree that a philosophy of nature is a necessary aspect for any general theory of cognition, it is not enough: we also need a research program and a scientific framework in order to establish a fully-fledged science of the mind. Ecological psychology, as I show in this work, includes a philosophy of nature and a research program, which makes it suitable to settle the foundations for a fully embodied and situated cognitive science. In conclusion, I think that everyone working on embodiment and situated cognition should follow the ecological lead. (shrink)

Experts in Artificial Intelligence (AI) development predict that advances in the development of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance is not made prudently and critically-reflexively, it can result in negative outcomes for humanity. For this reason, several researchers in the area have developed a robust, beneficial, and safe concept of AI for the preservation of humanity and the environment. Currently, several of the open problems in the field of AI research (...) arise from the difficulty of avoiding unwanted behaviors of intelligent agents and systems, and at the same time specifying what we really want such systems to do, especially when we look for the possibility of intelligent agents acting in several domains over the long term. It is of utmost importance that artificial intelligent agents have their values aligned with human values, given the fact that we cannot expect an AI to develop human moral values simply because of its intelligence, as discussed in the Orthogonality Thesis. Perhaps this difficulty comes from the way we are addressing the problem of expressing objectives, values, and ends, using representational cognitive methods. A solution to this problem would be the dynamic approach proposed by Dreyfus, whose phenomenological philosophy shows that the human experience of being-in-the-world in several aspects is not well represented by the symbolic or connectionist cognitive method, especially in regards to the question of learning values. A possible approach to this problem would be to use theoretical models such as SED (situated embodied dynamics) to address the values learning problem in AI. (shrink)

This paper is a follow-up of the first part of the persons reply to the Chinese Room Argument. The first part claims that the mental properties of the person appearing in that argument are what matter to whether computational cognitive science is true. This paper tries to discern what those mental properties are by applying a series of hypothetical psychological and strengthened Turing tests to the person, and argues that the results support the thesis that the Man performing (...) the computations characteristic of understanding Chinese actually understands Chinese. The supposition that the Man does not understand Chinese has gone virtually unquestioned in this foundational debate. The persons reply acknowledges the intuitive power behind that supposition, but knows that brute intuitions are not epistemically sacrosanct. Like many intuitions humans have had, and later deposed, this intuition does not withstand experimental scrutiny. The second part of the persons reply consequently holds that computational cognitive science is confirmed by the Chinese Room thought experiment. (shrink)

Theoretical gaps of the cognitive science. First of all the gap-thesis is based on a criticism 1. of the computer-orientated cognitive science (it confuses information with the information carrier), 2. of connectivism (its linguistic borrowing from the neurobiology is not appropriate), 3. of Varelas production model (the elimination of the function of representation results in the loss of the cognitive ability). From the context of meaning and time, then the author sketches a cognitive theoretical (...) approach, in which thinking as a (symbolic and/or subsymbolic) representation of meaning is introduced, which develops in a three-digit relation between world, language and substrate on the basis of isomorphy of time. (shrink)

_Abstract_: In this paper we carve out a _reformist_ agenda within the debate on the foundations of cognitive science, incorporating some important ideas from the 4E cognition literature into the computational-representational framework. We are deeply sympathetic to this reformist program since we think that, despite strong criticism of the concept of computation and the related notion of representation, computational models should still be at the core of the study of mind. At the same time, we recognize the need (...) for a liberalization of the computational and representational framework that can address deep dissatisfaction with the anti-biologism and radical internalism of classical cognitive science. However, reform is a difficult task, so in this article we focus on two open questions within the reformist agenda. The first concerns the possibility of combining mechanistic-computational and dynamical explanations. The second concerns related changes in the notion of representation and its use (with special attention to Andy Clark’s radical predictive processing). _Keywords_: Continuum of Representational Genera;_ _Enactivism; Predictive Processing; Radical Embodied Cognition Thesis; Representationalism _ Due problemi aperti nell’agenda riformista della filosofia della scienza cognitiva _ _Riassunto_: In questo lavoro identifichiamo un’agenda _riformista_ nel dibattito sui fondamenti della scienza cognitiva che incorpora alcune idee centrali provenienti dalla letteratura sulla cognizione 4E all’interno di una cornice computazionalista e rappresentazionalista. Tale agenda considera il quadro computazionalista e rappresentazionalista ancora imprescindibile ai fini dello studio integrato della mente e del cervello, ma ne persegue una liberalizzazione nell’intento di renderlo idoneo ad accogliere alcuni importanti spunti emersi dalla letteratura sulla cognizione delle 4E. Tuttavia, riformare è un compito difficile. In questo articolo ci concentriamo su due problemi aperti nell’agenda riformista. Il primo riguarda la possibilità di mettere assieme le spiegazioni meccaniciste e computazionaliste con quelle dinamiche. Il secondo riguarda i cambiamenti relativi alla nozione di rappresentazione e al suo impiego (con particolare attenzione all’elaborazione predittiva radicale di Andy Clark). _Parole chiave_: Continuum dei generi rappresentazionali;_ _Elaborazione predittiva; Enattivismo; Tesi della cognizione incarnata radicale; Rappresentazionalismo. (shrink)

In this remark to the article by A.Yu. Antonovsky, doubts are expressed about the thesis about the separation of cognitive and normative expectations. It seems controversial to assert that the forms of presentation of scientific results depend on these types of expectations. Using the example of encyclopedic publications that became widespread in different periods of the history of philosophy and science, the epistemological attitudes of rejection of authority, openness and replenishment of knowledge are analyzed. According to the author, (...) the basis of the unity of normative and cognitive expectations in science is the authoritative component of knowledge. Science is a monopoly on authoritative reliable knowledge, distinguishing classes and categories of objects. The author emphasizes that the difference between the forms of presentation of scientific results (for example, a scientific article / encyclopedic article) lies in the goals pursued by the authors, making a choice in favor of one or another format. Keywords: normative expectations, cognitive expectations, encyclopedia, classification, open nature of knowledge, reliable knowledge, authority. (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)

Is the mind/brain a kind of a computer? In cognitive science, it is widely believed that cognition is a form of computation--that some physical systems, such as minds/brains, compute appropriate functions, whereas other systems, such as video cameras, stomachs or the weather, do not compute. What makes a physical system a computing system? In my dissertation I first reject the orthodox, Turing-machine style answer to this question. I argue that the orthodox notion is rooted in a misunderstanding of (...) our pre-theoretic notion of computation and of Turing's characterization of it. I then offer an alternative--semantic --theory of computation for physical systems. I suggest that to view a system as a computing system is to identify its processes and states, as computational, with respect to their semantic relations to external objects. Lastly, I examine the ramifications of my theses about computation for cognitive science. I argue that the level at which we specify psychological processes/mechanisms is defined over semantic, rather than syntactic or algorithmic, types. As a result of this, I go on to claim that cognitive scientists take semantic properties as those which explain behavior, not those which are in need of explanation. (shrink)

Should the input data of artificial intelligence (AI) systems include factors such as race or sex when these factors may be indicative of morally significant facts? More importantly, is it wrong to rely on the output of AI tools whose input includes factors such as race or sex? And is it wrong to rely on the output of AI systems when it is correlated with factors such as race or sex (whether or not its input includes such factors)? The answers (...) to these questions are controversial. In this paper, I argue for the following claims. First, since factors such as race or sex are not morally significant in themselves, including such factors in the input data, or relying on output that includes such factors or is correlated with them, is neither objectionable (for example, unfair) nor commendable in itself. Second, sometimes (but not always) there are derivative reasons against such actions due to the relationship between factors such as race or sex and facts that are morally significant (ultimately) in themselves. Finally, even if there are such derivative reasons, they are not necessarily decisive since there are sometimes also countervailing reasons. Accordingly, the moral status of the above actions is contingent. (shrink)

Humans grasp discrete infinities within several cognitive domains, such as in language, thought, social cognition and tool-making. It is sometimes suggested that any such generative ability is based on a computational system processing hierarchical and recursive mental representations. One view concerning such generativity has been that each of the mind’s modules defining a cognitive domain implements its own recursive computational system. In this paper recent evidence to the contrary is reviewed and it is proposed that there is only (...) one supramodal computational system with recursion in the human mind. A recursion thesis is defined, according to which the hominin cognitive evolution is constituted by a recent punctuated genetic mutation that installed the general, supramodal capacity for recursion into the human nervous system on top of the existing, evolutionarily older cognitive structures, and it is argued on the basis of empirical evidence and theoretical considerations that the recursion thesis constitutes a plausible research program for cognitive science. (shrink)

I argue that the standard paradigm for understanding cognition—namely, that thoughts are representational, internal, and propositional—does not account for a large number of genuinely cognitive processes. Instead, if we adopt a more radical approach, one that treats cognition as a cooperative, dynamic, and interactive process, accounting for shared meaning making and embodied thought becomes much more plausible. To support this thesis, rather than turn to the debate as it has been ongoing among philosophers of mind pertaining solely to human (...) thought, I examine our interactions with other animals, and thus, I take a more biological approach to how thought evolves and emerges. Chiefly, I look at the ways in which human-canine interaction ought to count as producing genuinely cognitive phenomena that cannot be properly explicated under a standard model of cognition, and that these sorts of interactive and dynamic pairings between us and our dogs can serve as models for human minds, which I argue are much more shared and cooperative than competing accounts of cognition would have us believe. (shrink)

Most biologists and some cognitive scientists have independently reached the conclusion that there is no such thing as learning in the traditional “instructive‘ sense. This is, admittedly, a somewhat extreme thesis, but I defend it herein the light of data and theories jointly extracted from biology, especially from evolutionary theory and immunology, and from modern generative grammar. I also point out that the general demise of learning is uncontroversial in the biological sciences, while a similar consensus has not yet (...) been reached in psychology and in linguistics at large. Since many arguments presently offered in defense of learning and in defense of “general intelligence‘ are often based on a distorted picture of human biological evolution, I devote some sections of this paper to a critique of “adaptationism,‘ providing also a sketch of a better evolutionary theory. Moreover, since certain standard arguments presented today as “knock-down‘ in psychology, in linguistics and in artificial intelligence are a perfect replica of those once voiced by biologists in favor of instruction and against selection, I capitalize on these errors of the past to draw some lessons for the present and for the future. (shrink)

Embodied cognitive science has argued that cognition is embodied principally in virtue of grossmorphological and sensorimotor features. This thesis argues that cognition is also internally embodied in affective and fine-grained physiological features whose transformative roles remain mostly unnoticed in contemporary cognitive science. I call this ‘proper embodiment’. I approach this larger subject by examining various emotion theories in philosophy and psychology. These tend to emphasise one of the many gross components of emotional processes, such as ‘feeling’ (...) or ‘judgement’ to the detriment of the others, often leading to an artificial emotion-cognition distinction even within emotion science itself. Attempts to reconcile this by putting the gross components back together, such as JessePrinz’s “embodied appraisal theory”, are, I argue, destined to failure because the vernacular concept of emotion which is used as the explanandum is not a natural kind and is not amenable to scientific explication.I examine Antonio Damasio’s proposal that emotion is involved in paradigmatic ‘cognitive’ processing such as rational decision making and argue (1) that the research he discusses does not warrant the particular hypothesis he favours, and (2) that Damasio’s account, though in many ways a step in the right direction, nonetheless continues to endorse a framework which sees affect and cognition as separate (though now highly interacting) faculties. I further argue that the conflation of ‘affect’ and 'emotion' may be the source of some confusion in emotion theory and that affect needs to be properly distinguished from ‘emotion’. I examine some dissociations in the pain literature which give us further empirical evidence that, as with the emotions, affect is a distinct component along with more cognitive elements of pain. I then argue that affect is distinctive in being grounded in homeostatic regulative activity in the body proper. With the distinction between affect, emotion, and cognition in hand, and the associated grounding of affect in bodily activity, I then survey evidence that bodily affect is also involved in perception and in paradigmatic cognitive processes such as attention and executive function. I argue that this relation is not ‘merely’ casual. Instead, affect (grounded in fine-grained details of internal bodily activity) is partially constitutive of cognition, participating in cognitive processing and contributing to perceptual and cognitive phenomenology. Finally I review some work in evolutionary robotics which reaches a similar conclusion, suggesting that the particular fine details of embodiment, such as molecular signalling between both neural and somatic cells matters to cognition. I conclude that cognition is properly embodied’ in that it is partially constituted by the many fine-grained bodily processes involved in affect (as demonstrated in the thesis) and plausibly by a wide variety of other fine-grained bodily processes that likewise tend to escape the net of contemporary cognitive science. (shrink)