Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of explanation at all but, rather, different styles of explanation that (...) capture different, cross-cutting patterns in cognitive phenomena. Which pattern is explanatory depends on both the cognitive phenomenon under investigation and the research interests occasioning the explanation. This reframing changes how we should answer the basic questions of which cognitive science approaches explain and how these explanations relate to one another. On this view, we should expect different approaches to offer independent explanations in terms of their different focal patterns and the value of those explanations to partly derive from the broad patterns they feature. (shrink)

Despite the fact that the notion of internal representation has - at least according to some - a fundamental role to play in the sciences of the mind, not only has its explanatory utility been under attack for a while now, but it also remains unclear what criteria should an explanation of a given cognitive phenomenon meet to count as a representational explanation in the first place. The aim of this article is to propose a solution to this latter (...) problem. I will assume that representational explanations should be construed as a form of mechanistic explanations and proceed by proposing a general sketch of a functional architecture of a representational cognitive mechanism. According to the view on offer here, representational mechanisms are mechanisms that meet four conditions: the structural resemblance condition, the action-guidance condition, the decouplability condition, and the error-detection condition. (shrink)

There has been a recent surge in interest in two questions concerning the nature of perceptual experience; viz. the question of whether perceptual experience is sometimes cognitively penetrated and that of whether high-level properties are presented in perceptual experience. Only rarely have thinkers been concerned with the question of whether the two phenomena are interestingly related. Here we argue that the two phenomena are not related in any interesting way. We argue further that this lack of an interesting (...) connection between the two phenomena has potentially devastating consequences for naïve realism. Finally, we consider the possibility of a disunified view of experience that takes perceptual experience to be a matter of both being directly perceptually related to mind-independent objects and property instances as well as consciously representing these entities. (shrink)

It is commonly held that research efforts in the cognitive and behavioral sciences are mainly directed toward providing explanations and that phenomena figure into scientific practice qua explananda. I contend that these assumptions convey a skewed picture of the research practices in question and of the role played by phenomena. I argue that experimental research often aims at exploring and describing “objects of research” and that phenomena can figure as components of, and as evidence for, such (...) objects. I situate my analysis within the existing literature and illustrate it with examples from memory research. (shrink)

This article investigates the origins of the experiences involved in the diagnostics (detection and normative evaluation) of biological entities in image-based medical praxis. Our specific research aim presupposes a vast discussion regarding the origins of knowledge in general, but is narrowed down to the alternatives of anthropomorphism and biomorphism. Accordingly, in the subsequent chapters we will make an attempt to investigate and illustrate what holds the diagnostic experiential situation together—biological regularities, manifestation via movement, conscious synthesis, causal categories, or something else. (...) We argue that as long as knowledge originates out of practices, a promising way forward is to oscillate between the prominent although controversial ideas of the history of philosophy and observations of concrete human practices, such as, in our chosen example, image-based medical diagnostics of biological pathologies. Although a number of thinkers are involved in the discussion, Aristotle and Husserl are most important here as the representatives of historical paradigms on the matter. The body in this research was not taken solely as the physical entity (Körper) but rather as a transcendental, constitutive structure where diagnostic and biological processes synchronize in teleological movement (Leib). However, philosophical speculations are illustrated by actual radiograms, the interpretation of which brings us back to the aforementioned question of primacy regarding cognition. (shrink)

Biologists are not used to the term „substance". They prefer to say „a living being", „an organism", a „specimen of species Homo sapiens'' - for instance. Chemists, on the other hand, when they say „this is a new substance" they usually mean the same Aristotle would mean - I think. The chemical meaning of the term „substance" is closest to the one I am going to discuss in this paper. To know a substance, one has to accumulate and store a (...) multitude of different forms of evidence concerning this „natural behavior". So that concept of the „nature" of a given chemical substance is necessarily very complex and it cannot result from a single sensation, or a momentary observation. (shrink)

Biologists are not used to the term „substance". They prefer to say „a living being", „an organism", a „specimen of species Homo sapiens'' - for instance. Chemists, on the other hand, when they say „this is a new substance" they usually mean the same Aristotle would mean - I think. The chemical meaning of the term „substance" is closest to the one I am going to discuss in this paper. To know a substance, one has to accumulate and store a (...) multitude of different forms of evidence concerning this „natural behavior". So that concept of the „nature" of a given chemical substance is necessarily very complex and it cannot result from a single sensation, or a momentary observation. (shrink)

Cognitive ecology is the study of cognitive phenomena in context. In particular, it points to the web of mutual dependence among the elements of a cognitive ecosystem. At least three fields were taking a deeply ecological approach to cognition 30 years ago: Gibson’s ecological psychology, Bateson’s ecology of mind, and Soviet cultural-historical activity theory. The ideas developed in those projects have now found a place in modern views of embodied, situated, distributed cognition. As cognitive theory (...) continues to shift from units of analysis defined by inherent properties of the elements to units defined in terms of dynamic patterns of correlation across elements, the study of cognitive ecosystems will become an increasingly important part of cognitive science. (shrink)

Cognitive science is, more than anything else, a pursuit of cognitive mechanisms. To make headway towards a mechanistic account of any particular cognitive phenomenon, a researcher must choose among the many architectures available to guide and constrain the account. It is thus fitting that this volume on contemporary debates in cognitive science includes two issues of architecture, each articulated in the 1980s but still unresolved: " • Just how modular is the mind? – a debate initially (...) pitting encapsulated mechanisms against highly interactive ones. • Does the mind process language-like representations according to formal rules? – a debate initially pitting symbolic architectures against less language-like architectures. " Our project here is to consider the second issue within the broader context of where cognitive science has been and where it is headed. The notion that cognition in general—not just language processing—involves rules operating on language-like representations actually predates cognitive science. In traditional philosophy of mind, mental life is construed as involving propositional attitudes—that is, such attitudes towards propositions as believing, fearing, and desiring that they be true—and logical inferences from them. On this view, if a person desires that a proposition be true and believes that if she performs a certain action it will become true, she will make the inference and perform the action. (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)

We affirm the utility of integrative modeling, according to which it is advantageous to move beyond “one-at-a-time binary paradigms” through studies that position themselves within realistic multidimensional design spaces. We extend the integrative modeling approach to a target domain with which we are familiar, the consequences of bilingualism on mind and brain, often referred to as the “bilingual advantage.” In doing so, we highlight work from our group consistent with integrative modeling.

Experimental Phenomena of Consciousness is the definitive collection of consciousness phenomena in which awareness emerges as an experimental variable. With its comprehensive yet succinct entries, arranged alphabetically, this dictionary will be a valuable reference tool for libraries and researchers at all levels in psychology, neuroscience, and philosophy, who are investigating consciousness, cognition, perception, and attention. It will also be an important addition to the reading lists of courses on consciousness and cognition. Most entries include illustrations and a list (...) of references where a more thorough treatment of the topic can be found. The text is supported by a web page that provides dynamic illustrations and other supplemental material. As the first reference book on the topic, Experimental Phenomena of Consciousness will be a valuable tool for undergraduates, graduate students, professional researchers, and anyone who has an interest in the subject of consciousness. (shrink)

We use the system of p-adic numbers for the description of information processes. Basic objects of our models are so-called transformers of information, basic processes are information processes and statistics are information statistics (thus we present a model of information reality). The classical and quantum mechanical formalisms on information p-adic spaces are developed. It seems that classical and quantum mechanical models on p-adic information spaces can be applied for the investigation of flows of information in cognitive and social systems, (...) since a p-adic metric gives a quite natural description of the ability to form associations. (shrink)

Cognition is embodied when it is deeply dependent upon features of the physical body of an agent, that is, when aspects of the agent's body beyond the brain play a significant causal or physically constitutive role in cognitive processing. In general, dominant views in the philosophy of mind and cognitive science have considered the body as peripheral to understanding the nature of mind and cognition. Proponents of embodied cognitive science view this as a serious mistake. Sometimes the (...) nature of the dependence of cognition on the body is quite unexpected, and suggests new ways of conceptualizing and exploring the mechanics of cognitive processing. Embodied cognitive science encompasses a loose-knit family of research programs in the cognitive sciences that often share a commitment to critiquing and even replacing traditional approaches to cognition and cognitive processing. Empirical research on embodied cognition has exploded in the past 10 years. As the bibliography for this article attests, the various bodies of work that will be discussed represent a serious alternative to the investigation of cognitive phenomena. Relatively recent work on the embodiment of cognition provides much food for thought for empirically-informed philosophers of mind. This is in part because of the rich range of phenomena that embodied cognitive science has studied. But it is also in part because those phenomena are often thought to challenge dominant views of the mind, such as the computational and representational theories of mind, at the heart of traditional cognitive science. And they have sometimes been taken to undermine standard positions in the philosophy of mind, such as the idea that the mind is identical to, or even realized in, the brain. (shrink)

Conscious experience is one of the most difficult and thorny problems in psychological science. Its study has been neglected for many years, either because it was thought to be too difficult, or because the relevant evidence was thought to be poor. Bernard Baars suggests a way to specify empirical constraints on a theory of consciousness by contrasting well-established conscious phenomena - such as stimulus representations known to be attended, perceptual, and informative - with closely comparable unconscious ones - such (...) as stimulus representations known to be preperceptual, unattended, or habituated. Adducing data to show that consciousness is associated with a kind of global workplace in the nervous system, and that several brain structures are known to behave in accordance with his theory, Baars helps to clarify many difficult problems. (shrink)

Cognitive integration is a contribution to the embodied, embedded, and extended cognition movement in philosophy and cognitive science and the extended synthesis movement in evolutionary biology— particularly cultural evolution and niche construction. It is a framework for understanding and studying cognition and the mind that draws on several sources: empirical research in embodied cognition, arguments for extended cognition, distributed cognition, niche construction and cultural inheritance, developmental psychology, social learning, and cognitive neuroscience. Its uniqueness rests in its ability (...) to account for a range of cognitive phenomena diachronically across both ontogenetic and phylogenetic time scales as well as synchronically on faster time scales incorporating real- time online bodily interactions with the local environment. Furthermore, it does so by going beyond straightforwardly causal and dynamical descriptions of the phenomena in question to include normative social practices that govern and coordinate the brain- body- environment interactions that form the core of the cognitive integration (CI) framework. The three main pillars of the CI framework are interaction, cognitive practices, and the transformation of cognitive abilities. In this chapter I will outline the framework in terms of its core commitments, provide motivations for these core commitments, and discuss core examples of CI at work. I shall also respond to several recent criticisms of the CI framework. (shrink)

Traditional explanations of multistable visual phenomena (e.g. ambiguous figures, perceptual rivalry) suggest that the basis for spontaneous reversals in perception lies in antagonistic connectivity within the visual system. In this review, we suggest an alternative, albeit speculative. explanation for visual multistability - that spontaneous alternations reflect responses to active, programmed events initiated by brain areas that integrate sensory and non-sensory information to coordinate a diversity of behaviors. Much evidence suggests that perceptual reversals are themselves more closely related to the (...) expression of a behavior than to passive sensory responses: (1) they are initiated spontaneously, often voluntarily, and are influenced by subjective variables such as attention and mood; (2) the alternation process is greatly facilitated with practice and compromised by lesions in non- visual cortical areas; (3) the alternation process has temporal dynamics similar to those of spontaneously initiated behaviors; (4) functional imaging reveals that brain areas associated with a variety of cognitive behaviors are specifically activated when vision becomes unstable. In this scheme, reorganizations of activity throughout the visual cortex, concurrent with perceptual reversals, are initiated by higher, largely non- sensory brain centers. Such direct intervention In the processing of the sensory input by brain structures associated with planning and motor programming might serve an important role in perceptual organization, particularly in aspects related to selective attention. (shrink)

Game Transfer Phenomena refers to a cluster of involuntary phenomena related to playing videogames, including sensory and cognitive intrusions, transient changes in perception and self-agency. The Game Transfer Phenomena Scale has been used to measure the frequency of GTP with respect to five factors. The present study aimed to validate an instrument for assessing the multiple dimensions of GTP that helps clarify the distinction between GTP experiences. GTP were contextualized onto the spectrum of intrusive cognitions, perceptual (...) distortions, and dissociations. The relationship between GTP, involuntary phenomena without game content in terms of, e.g., hallucinations and perceptual distortions, and game-biased perceptions, as well as the positive and negative impact of GTP and level of distress were also examined. The data were collected using a survey. Separate confirmatory factor analyses of the dimensions of “inner intrusions/misperceptions,” “outer intrusions/distortions,” and “dissociations/mix-ups” produced acceptable fit indices. The findings show that phenomena manifesting as internal experiences are more common, while those manifesting as externalized intrusions are less common. Correlations between the GTP dimensions, INVWG, and GBPA, such as the insertion of game elements in thoughts, perceptions, and dreams, supported convergent validity. The correlations between the GTP dimensions and hours played supported criterion validity. Distress was correlated with outer intrusions and dissociations/mix-ups, but not with inner intrusions. Taken together, these results support the validity and reliability of the proposed assessment of GTP constructs. (shrink)

The “scaling-up” problem concerns radical embodied cognition’s (REC) supposed inability to extend its explanatory reach beyond simple cognitive phenomena. This paper questions the problem’s main assumption, that is, the possibility of sorting phenomena according to their inherent cognitive complexity or representation-hunger. To do so, I focus on a class of phenomena whose degree of representation-hunger has been much debated: social phenomena (and their cognitive correlates). Some, like Clark and Toribio (1994), consider social (...) class='Hi'>phenomena the absolute top of representation-hunger, while others, like radical enactivists, conceive of sociality as a non-representational resource; two opposite views which demonstrate how hard it is to place sociality somewhere in a representational hierarchy. An exploration into two social disciplines provides reasons to question the tenability of the scaling-up problem in the case of social phenomena and hence in general. The long debate in social psychology over dual-process models of cognition suggests distinguishing between the complexity of a task and its putative cognitive requirements, therefore rejecting that form of cognitive-task essentialism inherent in the idea of representation-hunger. The recent encounter of radical enactivism with social theory provides, on the other hand, a non-representational explanation of institutional phenomena. In the end, the paper suggests that one of the following must hold: either the scaling-up problem is untenable in its traditional (hierarchical) understanding or radical enactivism has already scaled up to social phenomena, understood as the pinnacle of representation-hunger. (shrink)

Mechanistic frameworks of investigation and explanation dominate the cognitive, neural, and psychological sciences. In this dissertation, I argue that mechanistic frameworks cannot, in principle, explain some kinds of cognition. In its place, I argue that complexity science has methods and theories more appropriate for investigating and explaining some cognitive phenomena. -/- I begin with an examination of the term 'cognition.' I defend the idea that "cognition" has been a moving target of investigation in the relevant sciences. As (...) such it is not historically true that there has been a thoroughly entrenched and agreed upon conception of "cognition." Next, I take up mechanistic frameworks. Although 'mechanism' is an umbrella term for a set of loosely related characteristics, there are common features: linearity, localization, and component dominance. I then describe complexity science, with emphasis on its utilization of dynamical systems modeling. Next, I discuss two phenomena that typically fall under the purview of complexity science: nonlinearity and interaction dominance. -/- A complexity science framework guided by the theory of self-organized criticality and utilizing the methods of dynamical systems modeling can surmount a number of challenges that face mechanistic frameworks when investigating some kinds of cognition. The first challenge is epistemic and concerns the inadequacy of mechanistic frameworks to facilitate the comprehensibility of massive amounts of data across various scales and areas of inquiry. I argue that complexity science is more appropriate for making big data comprehensible when investigating cognition, particularly across disciplines. I demonstrate this via an approach called nested dynamical modeling (NDM). NDM can facilitate comprehensibility of large amounts of data obtained from various scales of investigation by eliminating irrelevant degrees of freedom of that system as relates to the target of investigation. -/- The second shortcoming concerns ontological blind spots within mechanistic frameworks. Cognitive phenomena like extended cognition often fail to meet most, if not all, of the criteria assumed by many mechanistic approaches, especially component dominance. I argue that research guided by the notion of interaction dominance allows for extended cognition to be a real, empirically supported phenomenon within complex systems frameworks. In this chapter I discuss some of my experimental work on extended cognitive systems. -/- The search for mechanisms can be a reasonable starting position when attempting to explain natural phenomena in the life sciences. However, too strict of an adherence to theoretical and methodological commitments such as linearity, localization, and component dominance can result in intractable epistemic challenges and ontological blind spots. Complexity science has theories and methods to overcome such challenges in the investigation of cognition. (shrink)

Hutchins examines a set of phenomena that have fallen between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition.

Thirty years ago, grounded cognition had roots in philosophy, perception, cognitive linguistics, psycholinguistics, cognitive psychology, and cognitive neuropsychology. During the next 20 years, grounded cognition continued developing in these areas, and it also took new forms in robotics, cognitive ecology, cognitive neuroscience, and developmental psychology. In the past 10 years, research on grounded cognition has grown rapidly, especially in cognitive neuroscience, social neuroscience, cognitive psychology, social psychology, and developmental psychology. Currently, grounded cognition appears (...) to be achieving increased acceptance throughout cognitive science, shifting from relatively minor status to increasing importance. Nevertheless, researchers wonder whether grounded mechanisms lie at the heart of the cognitive system or are peripheral to classic symbolic mechanisms. Although grounded cognition is currently dominated by demonstration experiments in the absence of well-developed theories, the area is likely to become increasingly theory driven over the next 30 years. Another likely development is the increased incorporation of grounding mechanisms into cognitive architectures and into accounts of classic cognitive phenomena. As this incorporation occurs, much functionality of these architectures and phenomena is likely to remain, along with many original mechanisms. Future theories of grounded cognition are likely to be heavily influenced by both cognitive neuroscience and social neuroscience, and also by developmental science and robotics. Aspects from the three major perspectives in cognitive science—classic symbolic architectures, statistical/dynamical systems, and grounded cognition—will probably be integrated increasingly in future theories, each capturing indispensable aspects of intelligence. (shrink)

Traditional explanations of multistable visual phenomena (e.g. ambiguous figures, perceptual rivalry) suggest that the basis for spontaneous reversals in perception lies in antagonistic connectivity within the visual system. In this review, we suggest an alternative, albeit speculative, explanation for visual multistability – that spontaneous alternations reflect responses to active, programmed events initiated by brain areas that integrate sensory and non-sensory information to coordinate a diversity of behaviors. Much evidence suggests that perceptual reversals are themselves more closely related to the (...) expression of a behavior than to passive sensory responses: (1) they are initiated spontaneously, often voluntarily, and are influenced by subjective variables such as attention and mood; (2) the alternation process is greatly facilitated with practice and compromised by lesions in non-visual cortical areas; (3) the alternation process has temporal dynamics similar to those of spontaneously initiated behaviors; (4) functional imaging reveals that brain areas associated with a variety of cognitive behaviors are specifically activated when vision becomes unstable. In this scheme, reorganizations of activity throughout the visual cortex, concurrent with perceptual reversals, are initiated by higher, largely non-sensory brain centers. Such direct intervention in the processing of the sensory input by brain structures associated with planning and motor programming might serve an important role in perceptual organization, particularly in aspects related to selective attention. (shrink)

A widely shared view in the cognitive sciences is that discovering and assessing explanations of cognitive phenomena whose production involves uncertainty should be done in a Bayesian framework. One assumption supporting this modelling choice is that Bayes provides the best approach for representing uncertainty. However, it is unclear that Bayes possesses special epistemic virtues over alternative modelling frameworks, since a systematic comparison has yet to be attempted. Currently, it is then premature to assert that cognitive (...) class='Hi'>phenomena involving uncertainty are best explained within the Bayesian framework. As a forewarning, progress in cognitive science may be hindered if too many scientists continue to focus their efforts on Bayesian modelling, which risks to monopolize scientific resources that may be better allocated to alternative approaches. (shrink)

Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', (...) allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision. (shrink)

Our goal in this paper is to provide enough of an account of the origins of cognitive ethology and the controversy surrounding it to help ethicists to gauge for themselves how to balance skepticism and credulity about animal minds when communicating with scientists. We believe that ethicists’ arguments would benefit from better understanding of the historical roots of ongoing controversies. It is not appropriate to treat some widely reported results in animal cognition as if their interpretations are a matter (...) of scientific consensus. It is especially important to understand why loose references to “cognitive ethology” by philosophers can signal ignorance of the field to scientists who are more deeply immersed in the relevant literature. Understanding the variety of approaches to cognitive phenomena in animals is essential if such capacities are to form the foundation of scientifically-informed ethical reasoning about animals. (shrink)

Tool use rivals language as an important domain of cognitive phenomena, and so as a source of insight into the nature of cognition in general. But the favoured current definition of tool use is inadequate because it does not carve the phenomena of interest at the joints. Heidegger's notion of equipment provides a more adequate theoretical framework. But Heidegger's account leads directly to a non-individualist view of the nature of cognition. Thus non-individualism is supported by concrete considerations (...) about the nature of tools and tool use. (shrink)

Cognitive science is, of course, not really a new discipline, but a recognition of a fundamental set of common concerns shared by the disciplines of psychology, computer science, linguistics, economics, epistemology, and the social sciences generally. All of these disciplines are concerned with information processing systems, and all of them are concerned with systems that are adaptive—that are what they are from being ground between the nether millstone of their physiology or hardware, as the case may be, and the (...) upper millstone of a complex environment in which they exist. Systems that are adaptive may equally well be described as “artificial,” for as environments change, they can be expected to change too, as though they were deliberately designed to fit those environments (as indeed they sometimes are).The task of empirical science is to discover and verify invariants in the phenomena under study. The artificiality of information processing systems creates a subtle problem in defining empirical invariants in such systems. For observed regularities are very likely invariant only within a limited range of variation in their environments, and any accurate statement of the laws of such systems must contain reference to their relativity to environmental features. It is a common experience in experimental psychology, for example, to discover that we are studying sociology—the effects of the past histories of our subjects—when we think we are studying physiology—the effects of properties of the human nervous system. Similarly, business cycle economists are only now becoming aware of the extent to which the parameters of the system they are studying are dependent on the experiences of a population with economic events over the previous generation.In artificial sciences, the descriptive and the normative are never far apart. Thus, in economics, the “principle of rationality” is sometimes asserted as a descriptive invariant, sometimes as advice to decision makers. Similarly, in psychology, the processes of adaptation (learning) have always been a central topic, at one time a topic that dominated the whole field of research. Linguistics, too, has suffered its confusions between descriptive and normative attitudes towards its subject. But we must avoid the error, in studying information processing systems, of thinking that the adaptive processes themselves must be invariant; and we must be prepared to face the complexities of regression in the possibility that they themselves may be subject to improvement and adaptation.It might have been necessary a decade ago to argue for the commonality of the information processes that are employed by such disparate systems as computers and human nervous systems. The evidence for that commonality is now overwhelming, and the remaining questions about the boundaries of cognitive science have more to do with whether there also exist nontrivial commonalities with information processing in genetic systems than with whether men and machines both think. (shrink)

The articles comprising this dissertation concern classification and concept formation in the social and behavioral sciences. In particular, the emphasis in the study is on the philosophical analysis of interdisciplinary settings created by the recent intellectual developments on the interfaces between the social sciences, psychology, and neuroscience. The need for a systematic examination of the problems of conceptual coordination and integration across disciplinary boundaries is illustrated by focusing on phenomena whose satisfactory explanation requires drawing together the theoretical resources from (...) a variety of disciplines. In philosophy, questions regarding the nature of scientific concepts have often been framed in terms of theories of natural kinds. For this reason, analysis of the notion of natural kind as well as examination of how theories of natural kinds should be connected to recent philosophical accounts of scientific explanation and mechanisms form the core of the study. Building on contemporary discussions on these topics in the philosophy of biology, the philosophy of cognitive science, and the philosophy of the social sciences, the articles develop a mechanistic theory of natural kinds in the social and behavioral sciences, and scrutinize its applicability and usefulness as a theory of conceptual change in interdisciplinary settings. The study suggests that, although the mechanistic theory cannot account for the functioning of the whole range of scientific concepts, interweaving biological, cognitive, and social mechanisms in the manner suggested by the mechanistic theory offers a naturalistic and non-reductionist basis for conceptualizing epistemic coordination across disciplinary boundaries. (shrink)

This study provides a survey of phenomena that present themselves during moments of naturally occurring inner experience. In our previous studies using Descriptive Experience Sampling we have discovered five frequently occurring phenomena—inner speech, inner seeing, unsymbolized thinking, feelings, and sensory awareness. Here we quantify the relative frequency of these phenomena. We used DES to describe 10 randomly identified moments of inner experience from each of 30 participants selected from a stratified sample of college students. We found that (...) each of the five phenomena occurred in approximately one quarter of sampled moments, that the frequency of these phenomena varied widely across individuals, that there were no significant gender differences in the relative frequencies of these phenomena, and that higher frequencies of inner speech were associated with lower levels of psychological distress. (shrink)

Cognitive science typically postulates unconscious mental phenomena, computational or otherwise, to explain cognitive capacities. The mental phenomena in question are supposed to be inaccessible in principle to consciousness. I try to show that this is a mistake, because all unconscious intentionality must be accessible in principle to consciousness; we have no notion of intrinsic intentionality except in terms of its accessibility to consciousness. I call this claim the The argument for it proceeds in six steps. The (...) essential point is that intrinsic intentionality has aspectual shape: Our mental representations represent the world under specific aspects, and these aspectual features are essential to a mental state's being the state that it is. (shrink)

Naturalistic philosophers ought to think that the mind is continuous with the rest of the world and should not, therefore, be surprised by the findings of the extended mind, cognitive integration and enactivism. Not everyone is convinced that all mental phenomena are continuous with the rest of the world. For example, intentionality is often formulated in a way that makes the mind discontinuous with the rest of the world. This is a consequence of Brentano’s formulation of intentionality, I (...) suggest, and can be overcome by revealing that the concept of intentional directedness as he receives it from the Scholastics is quite consistent with the continuity thesis. It is only when intentional directedness is conjoined with intentional inexistence that intentionality and content are consistent with a discontinuity thesis (such as Brentano’s thesis). This makes room to develop an account of intentional directedness that is consistent with the continuity thesis in the form of Peirce’s representational principle. I also argue against a form of the discontinuity thesis in the guise of the derived/underived content distinction. Having shown that intentionality is consistent with the continuity thesis I argue that we should focus on intentionality and representation as bodily enacted. I conclude that we would be better off focussing on representation and intentionality in action rather than giving abstract functional accounts of extended cognition. (shrink)

Cognitive science is, of course, not really a new discipline, but a recognition of a fundamental set of common concerns shared by the disciplines of psychology, computer science, linguistics, economics, epistemology, and the social sciences generally. All of these disciplines are concerned with information processing systems, and all of them are concerned with systems that are adaptive—that are what they are from being ground between the nether millstone of their physiology or hardware, as the case may be, and the (...) upper millstone of a complex environment in which they exist. Systems that are adaptive may equally well be described as “artificial,” for as environments change, they can be expected to change too, as though they were deliberately designed to fit those environments (as indeed they sometimes are).The task of empirical science is to discover and verify invariants in the phenomena under study. The artificiality of information processing systems creates a subtle problem in defining empirical invariants in such systems. For observed regularities are very likely invariant only within a limited range of variation in their environments, and any accurate statement of the laws of such systems must contain reference to their relativity to environmental features. It is a common experience in experimental psychology, for example, to discover that we are studying sociology—the effects of the past histories of our subjects—when we think we are studying physiology—the effects of properties of the human nervous system. Similarly, business cycle economists are only now becoming aware of the extent to which the parameters of the system they are studying are dependent on the experiences of a population with economic events over the previous generation.In artificial sciences, the descriptive and the normative are never far apart. Thus, in economics, the “principle of rationality” is sometimes asserted as a descriptive invariant, sometimes as advice to decision makers. Similarly, in psychology, the processes of adaptation (learning) have always been a central topic, at one time a topic that dominated the whole field of research. Linguistics, too, has suffered its confusions between descriptive and normative attitudes towards its subject. But we must avoid the error, in studying information processing systems, of thinking that the adaptive processes themselves must be invariant; and we must be prepared to face the complexities of regression in the possibility that they themselves may be subject to improvement and adaptation.It might have been necessary a decade ago to argue for the commonality of the information processes that are employed by such disparate systems as computers and human nervous systems. The evidence for that commonality is now overwhelming, and the remaining questions about the boundaries of cognitive science have more to do with whether there also exist nontrivial commonalities with information processing in genetic systems than with whether men and machines both think. (shrink)

Cognitive Science is a major new guide to the central theories and problems in the study of the mind and brain. The authors clearly explain how and why cognitive science aims to understand the brain as a computational system that manipulates representations. They identify the roots of cognitive science in Descartes - who argued that all knowledge of the external world is filtered through some sort of representation - and examine the present-day role of Artificial Intelligence, computing, (...) psychology, linguistics and neuroscience. Throughout, the key building blocks of cognitive science are clearly illustrated: perception, memory, attention, emotion, language, control of movement, learning, understanding and other important mental phenomena. Cognitive Science: presents a clear, collaborative introduction to the subject is the first textbook to bring together all the different strands of this new science in a unified approach includes illustrations and exercises to aid the student. (shrink)

We tend to think that perceptual experiences tell us about what the external world is like without being influenced by our own mind. But recent psychological and philosophical research indicates that this might not be true. Our beliefs, expectations, knowledge, and other personal-level mental states might influence what we experience. This kind of psychological phenomena is now called “cognitive penetration.” The research of cognitive penetration not only has important consequences for psychology and the philosophy of mind, but (...) also has interesting epistemological implications. According to the Downgrade Thesis, some cognitively penetrated perceptual experiences give their subjects less justification for believing their penetrated contents than perceptual experiences that are unpenetrated to represent those contents would usually give. In this paper, I propose an innovative argument for the Downgrade Thesis. First, I develop a positive account of how some cognitive penetration works, according to which cognitive states influence perceptual experiences by triggering some imaginings. Second, I argue that imaginings do not give their subjects justification for believing their contents. I apply this epistemology of imagining to cognitive penetration, and argue that because of the role that imaginings play, some cognitively penetrated experiences also give their subjects less justification for believing their penetrated contents. (shrink)