The Sphex story is an anecdote about a female digger wasp that at first sight seems to act quite intelligently, but subsequently is shown to be a mere automaton that can be made to repeat herself endlessly. Dennett and Hofstadter made this story well known and widely influential within the cognitive sciences, where it is regularly used as evidence that insect behavior is highly rigid. The present paper discusses the origin and subsequent empirical investigation of the repetition reported (...) in the Sphex story. The repetition was first observed by Henri Fabre in 1879, and the last empirical study I found was published in 1985. In contrast to the story's clear message, the actual results have always been equivocal: the endless repetition is not standard. In addition, this repetition itself has become a minor aside in the literature on digger wasps when put in the perspective of many other examples of adaptiveness and flexibility. Nevertheless, the story and its message have to this day persevered within the cognitive sciences. For some reason, the counterevidence has been neglected time and again. The paper closes by presenting two different but compatible hypotheses that could explain why humans keep repeating this particular anecdote. (shrink)

In recent years there has been some hard-won but still limited agreement that phenomenology can be of central and positive importance to the cognitive sciences. This realization comes in the wake of dismissive gestures made by philosophers of mind who mistakenly associate phenomenological method with untrained psychological introspection (e.g., Dennett 1991). For very different reasons, resistance is also found on the phenomenological side of this issue. There are many thinkers well versed in the Husserlian tradition who are not (...) willing to consider the validity of a naturalistic science of mind. For them cognitive science is too computational or too reductionistic to be seriously considered as capable of explaining experience or consciousness. In some cases, when phenomenologists have seriously engaged the project of the cognitive sciences, rather than pursing a positive rapprochement with this project, they have been satisfied in drawing critical lines that identify its limitations.On the one hand, such negative attitudes are understandable from the perspective of the Husserlian rejection of naturalism, or from strong emphasis on the transcendental current in phenomenology. (shrink)

e argue that phenomenology can be of central and positive importance to the cognitive sciences, and that it can also learn from the empirical research conducted in those sciences. We discuss the project of naturalizing phenomenology and how this can be best accomplished. We provide several examples of how phenomenology and the cognitive sciences can integrate their research. Specifically, we consider issues related to embodied cognition and intersubjectivity. We provide a detailed analysis of issues related (...) to time-consciousness, with reference to understanding schizophrenia and the loss of the sense of agency. We offer a positive proposal to address these issues based on a neurobiological dynamic-systems model. (shrink)

There are (at least) two ways to think of the differences in basic concepts and typologies that one can find in the different scientific practices that constitute a research tradition. One is the fundamentalist view: the fewer the better. The other is a non-fundamentalist view of science whereby the integration of different concepts into the right abstraction grounds an explanation that is not grounded as the sum of the explanations supported by the parts. Integrative concepts are often associated with idealizations (...) that can successfully set the stage for different phenomena to be compared or for explanations of different phenomena to be considered as jointly increasing our understanding of reality beyond that which each explanation provides separately. In this paper, our aim is to argue for the importance of the notions of an ?affordance? and ?scaffolding? as integrative concepts in the cognitive sciences. The integrational role of the concept of affordance is closely related with the capacity of affordances to generate the scaffoldings leading to the integration. The capacities of affordances that turn them into (stable) scaffoldings explain why such notions are often used interchangeably (as we shall see). On this basis, we aim to show that the concepts of affordance and scaffolding provide the sort of epistemic perspective that can overcome common complaints about the limits and unity of the cognitive sciences once claims about extended cognition are taken seriously. (shrink)

This article reviews some of the ways in which philosophical problems concerning music can be informed by approaches from the cognitive sciences (principally psychology and neuroscience). Focusing on the issues of musical expressiveness and the arousal of emotions by music, the key philosophical problems and their alternative solutions are outlined. There is room for optimism that while current experimental data does not always unambiguously satisfy philosophical scrutiny, it can potentially support one theory over another, and in some cases (...) allow us to synthesize or reject traditional philosophical differences. (shrink)

John McDowell's philosophical ideas are both influential and comprehensive, encompassing philosophy of mind, philosophy of language, epistemology, ethics, metaphysics and the history of philosophy. This book is a much-needed systematic overview of McDowell's thought that offers a clear and accessible route through the main elements of his philosophy. Arguing that the world and minded human subject are constitutively interdependent, the book examines and critically engages with McDowell's views on naturalism of second nature, the inner space model, intentionality, personhood and practical (...) wisdom. The book presents novel discussions on the debates between McDowell and other key philosophers, including Hubert Dreyfus, Robert Brandom, Hans-Georg Gadamer, Donald Davidson, Maurice Merleau-Ponty and Immanuel Kant, amongst others. Demonstrating a thorough understanding of McDowell's work, Tony Cheng makes connections to both the phenomenological tradition and cognitive sciences to show the wider relevance of McDowell's philosophy. In doing so, he sheds light on how influential McDowell's thought is to the analytic tradition. -/- . (shrink)

Despite increasing interest in shared intentionality in both philosophy and the sciences over the last three decades, there has been little comparison of philosophical with empirical accounts of the phenomenon. At the same time, both philosophical and scientific investigations into shared intentionality as a ground of our cognition have developed into widespread research programs during this period. This has laid the groundwork for a productive conversation, across the sciences and humanities, about the nature of human cognition qua discursive (...) or rational. In this essay, I map some of the conceptual terrain such a conversation would cover, and I consider some of the extant efforts to build explanatory bridges across research and conversational contexts—using the resources of one domain of understanding to help structure our understanding of another—to the benefit of both philosophical and scientific approaches to the study of human cognition. (shrink)

This introduction to a special section of Phenomenology and the Cognitive Sciences reviews some historical and contemporary results concerning the role of development in cognition and experience, arguing that at this juncture development is an important topic for research in phenomenology and the cognitive sciences. It then suggests some ways in which the concept of development is in need of rethinking, in relation to the phenomena, and reviews the contributions that articles in the section make toward (...) this purpose. (shrink)

The probabilistic analysis of functional questions is maturing into a rigorous and coherent research paradigm that may unify the cognitive sciences, from the study of single neurons in the brain to the study of high level cognitive processes and distributed cognition. Endless debates about undecidable structural issues (modularity vs. interactivity, serial vs. parallel processing, iconic vs. propositional representations, symbolic vs. connectionist models) may be put aside in favor of a rigorous understanding of the problems solved by organisms (...) in their natural environments. [Shepard; Tenenbaum & Griffiths]. (shrink)

I assess the conditions that philosophers of mind usually use to identify mental representations. I argue in favor of a minimal definition of mental representation, which is similar to definitions endorsed by some philosophers of embodied cognition. I claim that, even if we endorse this minimal definition of mental representation, important aspects of perception cannot be explained in representational terms. Therefore I suggest endorsing a non-representational approach to perception made of a combination of the enactive approach and ecological psychology and (...) claim that perception is a direct relation to opportunities for action offered by perceptual niches. (shrink)

Modern linguistics has highlighted the fundamental invariance of human language: A rich invariant structure has emerged from comparative studies nourished by sophisticated formal models; languages also differ along important dimensions, but variation is constrained in severe and systematic ways. I illustrate this research direction in the domains of island constraints, word order restrictions, and the expression of referential dependencies. Both language invariance and language variability within systematic limits are highly relevant for the cognitive sciences.

A popular view presents explanations in the cognitive sciences as causal or mechanistic and argues that an important feature of such explanations is that they allow us to manipulate and control the explanandum phenomena. Nonetheless, whether there can be explanations in the cognitive sciences that are neither causal nor mechanistic is still under debate. Another prominent view suggests that both causal and non-causal relations of counterfactual dependence can be explanatory, but this view is open to the (...) criticism that it is not clear how to distinguish explanatory from non-explanatory relations. In this paper, I draw from both views and suggest that, in the cognitive sciences, relations of counterfactual dependence that allow manipulation and control can be explanatory even when they are neither causal nor mechanistic. Furthermore, the ability to allow manipulation can determine whether non-causal counterfactual dependence relations are explanatory. I present a preliminary framework for manipulation relations that includes some non-causal relations and use two examples from the cognitive sciences to show how this framework distinguishes between explanatory and non-explanatory, non-causal relations. The proposed framework suggests that, in the cognitive sciences, causal and non-causal relations have the same criterion for explanatory value, namely, whether or not they allow manipulation and control. (shrink)

We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.

The paper addresses the family of questions that arose from the field of interactions between phenomenology and the cognitive sciences. On the one hand, apparently partial coextensivity of research domain of phenomenology and the cognitive sciences sets the goal of their cooperation and mutual inspiration. On the other hand, there are some obstacles on the path to achieve this goal: phenomenology and the cognitive sciences have different traditions, they speak different languages, they have adopted (...) different methodological approaches, and last but not least, their prominent exponents exhibits different styles of thinking. In order to clarify this complicated area of tensions, the paper presents the results of philosophical reflections of such topics as: 1) philosophical presuppositions and postulates of the cognitive sciences 2) abstraction of some phenomena during idealisation and the dialectical model of science's development 3) argumentation based on prediction of future development of the cognitive sciences. This finally leads to the formulation of a phenomenology-based postulate for adequate model of mind and the discussion of humanistic dimension of cognitive sciences. (shrink)

The paper critically examines some theses from A.V. Smirnov’s monograph ‘The Logic of Meaning as a Philosophy of Consciousness: An Invitation to Reflection’. In particular, the statement about the inability of cognitive sciences to exhaustively explain conscious­ness because of its de-subjectivation within their framework. It is shown that cognitive sciences are generally able to cope with the intellectual and controlling aspects of con­sciousness. Only its phenomenal aspect remains in question, but this is clearly not what the (...) author of the monograph means. Further, he argues that understanding the workings of consciousness underlies the philosophical foundations of any subject. The analysis shows that if we exclude consciousness as control and the phenomenal consciousness, which are obviously irrelevant here, then the philosophical foundations of anything within this understanding are reduced either to normative requirements in the form of the logical foundations of theories, or to empirical data in the form of cognitive limita­tions of real subjects. Attributing rationalism and universalism to the Western philosophy as its essential properties, the author of the monograph does not take into account that ra­tionalism as anti-empiricism has long been a kind of abandoned trend, and rationalism as a commitment to inferential procedures has also been recently challenged by some strong alternatives. Similarly, the author’s opinion of the Western philosophy of mind as the exe­cution of the Cartesian program, which he reduces to cogito ergo sum, is disputed. This methodological tool – and the metaphysical principle as well – of Descartes is subjected to incessant attacks from representatives of various schools of Western philosophy. More­over, it underlies not the philosophy of mind, but the epistemology of the great philoso­pher. Finally, the author’s concept of ‘unfolding the folded’ comes down to a kind of di­alectical deduction of the empirical features of various cultures from a priori predeter­mined ‘subject-predicate gluings’ and ‘intuitions of integrity’, which paradoxically brings us back to Hegelian-type rationalism. (shrink)

(1994). Identity and autonomy of psychology in cognitive sciences: Some remarks from language processing and knowledge representation. World Futures: Vol. 42, No. 1-2, pp. 71-78.

`Folk Psychology' - our everyday talk of beliefs, desires and mental events - has long been compared with the technical language of `Cognitive Science'. Does folk psychology provide a correct account of the mental causes of our behaviour, or must our everyday terms ultimately be replaced by a language developed from computational models and neurobiology? This broad-ranging book addresses these questions, which lie at the heart of psychology and philosophy. Providing a critical overview of the key literature in the (...) field, including the seminal work of Fodor and Churchland, the author explores the classic `Frame Problem' and assesses the future prospects of cognitive science. The scope of the frame problem, touching on connec. (shrink)

The study of coordination, collaboration, and cooperation brings to the fore a number of questions concerning the cognitive status of the various forms of behaviors that are involved. In this article, we will briefly consider coordination, collaboration, and cooperation in terms of their respective time courses and how they relate to such topics as intentionality, consciousness, role perspective, mental models, and mental simulation. Taken together, the study of coordination, collaboration, and cooperation provides a rich area for interaction between the (...) behavioral and cognitive sciences. (shrink)

This book demonstrates for the first time how the work of Ludwig Wittgenstein can transform 4E Cognitive Science. In particular, it shows how insights from Wittgenstein can empower those within 4E to reject the long held view that our minds must involve representations inside our heads. The book begins by showing how proponents of 4E are divided amongst themselves. Proponents of Extended Mind insist that internal representations are always needed to explain the human mind. However, proponents of Enacted Mind (...) reject this claim. Using insights from Ludwig Wittgenstein, the book introduces and defends a new theoretical framework called Structural Enacted or Extended Mins (STEEM). (shrink)

The search for the “furniture of the mind” has acquired added impetus with the rise of new technologies to study the brain and identify its main structures and processes. Philosophers and scientists are increasingly concerned to understand the ways in which psychological functions relate to brain structures. Meanwhile, the taxonomic practices of cognitive scientists are coming under increased scrutiny, as researchers ask which of them identify the real kinds of cognition and which are mere vestiges of folk psychology. Muhammad (...) Ali Khalidi presents a naturalistic account of “real kinds” to validate some central taxonomic categories in the cognitive domain, including concepts, episodic memory, innateness, domain specificity, and cognitive bias. He argues that cognitive kinds are often individuated relationally, with reference to the environment and etiology of the thinking subject, whereas neural kinds tend to be individuated intrinsically, resulting in crosscutting relationships among cognitive and neural categories. (shrink)

This paper deals with two theories Husserl worked out on imagery in order to see if the properties a phenomenological description ascribes to imagery are fit to give meaningful constraints upon theoretical models that guide empirical research. Husserlian descriptions and Kosslyn and colleagues models are hence compared as to their explanatory strategy and implications.

In responding to Barbara Herrnstein Smith's article, “The Chimera of Relativism: A Tragicomedy,” this essay addresses a number of recently published research papers attempting to identify the neuronal correlates of cultural selves. However, underlying these studies of the “cultures of human nature” are some very strong assumptions about the nature of human culture. Current discussions of cultural effects on the brain are therefore not simply about reducing identity to brain states; they also show how a notion of identity is transformed (...) and reconfigured by its relation to a brain domain of knowledge making. Understanding these dynamics, both at a discourse level and at a brain level, this piece suggests, may provide a useful case for a contemporary discussion of relativism. (shrink)

Cognitive Science, Literature, and the Arts is the first student-friendly introduction to the uses of cognitive science in the study of literature, written specifically for the non-scientist. Patrick Colm Hogan guides the reader through all of the major theories of cognitive science, focusing on those areas that are most important to fostering a new understanding of the production and reception of literature. This accessible volume provides a strong foundation of the basic principles of cognitive science, and (...) allows us to begin to understand how the brain works and makes us feel as we read. (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)

It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the (...) phenomenon to be explained, the kind of unification afforded by the Bayesian framework to cognitive science does not necessarily reveal aspects of a mechanism. Bayesian unification, nonetheless, can place fruitful constraints on causal–mechanical explanation. 1 Introduction2 What a Great Many Phenomena Bayesian Decision Theory Can Model3 The Case of Information Integration4 How Do Bayesian Models Unify?5 Bayesian Unification: What Constraints Are There on Mechanistic Explanation?5.1 Unification constrains mechanism discovery5.2 Unification constrains the identification of relevant mechanistic factors5.3 Unification constrains confirmation of competitive mechanistic models6 ConclusionAppendix. (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)

Many philosophers insist that the revisionary metaphysician—i.e., the metaphysician who offers a metaphysical theory which conflicts with folk intuitions—bears a special burden to explain why certain folk intuitions are mistaken. I show how evidence from cognitive science can help revisionist discharge this explanatory burden. Focusing on composition and persistence, I argue that empirical evidence indicates that the folk operate with a promiscuous teleomentalist view of composition and persistence. The folk view, I argue, deserves to be debunked. In this way, (...) I take myself to have illustrated one key role cognitive science can play in metaphysics; namely by helping the revisionary metaphysician discharge the explanatory burden of providing a plausible explanation of how the folk have gone wrong. (shrink)

How can we think about things in the outside world? There is still no widely accepted theory of how mental representations get their meaning. In light of pioneering research, Nicholas Shea develops a naturalistic account of the nature of mental representation with a firm focus on the subpersonal representations that pervade the cognitive sciences.

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)

This paper criticizes the role of intuition-based ascriptions of cognition that are closely related to the ascription of mind. This practice hinders the explication of a clear and stable target domain for the cognitive sciences. To move forward, the proposal is to cut the notion of cognition free from such ascriptions and the intuition-based judgments that drive them. Instead, cognition is reinterpreted and developed as a scientific concept that is tied to a material domain of research. In this (...) reading, cognition becomes a changeable theoretical concept that can and must be adapted to the findings within this target domain. Taking humans as the best-established existing example of the relevant material target domain, this central case is extended to include all living systems. To clarify what it is about living systems that warrants their role as cognitive target domain, the new concept of cobolism is introduced as a complement to metabolism. Cobolism refers to the systematic ways in which each living system encompasses structures, processes and external events that maintain the fundamental metabolic processes that constitute the core of each living system. Cobolism is perfectly general, applies to bacterial and human cases alike, and provides a general format to describe wildly different cognitive organizations. It provides a clear target for the cognitive sciences to work on, turning them into what we can call the cognitive life sciences. (shrink)

Cognitive science of religion is a fairly young discipline with the aim of studying the cognitive basis of religious belief. Despite the great variation in theories a number of common features can be distilled and most theories can be situated in the cognitivist and modular paradigm. In this paper, I investigate how cognitive science of religion (CSR) can be made better by insights from John Dewey. I chose Dewey because he offered important insights in cognition long before (...) there was cognitive science and because his ideas are influential in the recent enactivist movement. The relevance of Dewey’s thought for CSR will be discussed under three headers: embodiedness, embeddedness and anti-modularity. I focus on these points because embodiedness and embeddedness are important features of Dewey’s view on cognition and because his ideas are useful for criticizing modularity. I will first give a brief overview of the most influential theories in CSR. Then I will discuss how existing theories in CSR can be improved on the first two points and criticized on the third. (shrink)