Cognitive science is a child of the 1950s, the product of a time when psychology, anthropology and linguistics were redefining themselves and computer science and neuroscience as disciplines were coming into existence. Psychology could not participate in the cognitive revolution until it had freed itself from behaviorism, thus restoring cognition to scientific respectability. By then, it was becoming clear in several disciplines that the solution to some of their problems depended crucially on solving problems traditionally allocated to (...) other disciplines. Collaboration was called for: this is a personal account of how it came about. (shrink)

The foundations of biology have been a topic of debate for the past few decades. The traditional perspective of the Modern Synthesis, which portrays organisms as passive entities with limited role in evolutionary theory, is giving way to a new paradigm where organisms are recognized as active agents, actively shaping their own phenotypic traits for adaptive purposes. Within this context, this article raises the question of whether contemporary biological theory is undergoing a cognitive revolution. This inquiry can be (...) approached in two ways: from a theoretical standpoint, exploring the centrality of the cognitive sciences in current theoretical biology; and from a historical perspective, examining the resemblance between the current state of theoretical biology and the Cognitive Revolution of the mid-20th century. Both inquiries yield affirmative answers, though important nuances will be emphasized. The cognitive sciences' explanatory framework is employed to elucidate the agentic characteristics of organisms, establishing a clear parallelism between the Cognitive Revolution and the present state of theoretical biology. (shrink)

We are living in an era when the focus of human relationships with the world is shifting from execution and physical impact to control and cognitive/informational interaction. This emerging, increasingly informational world is our new ecology, an infosphere that presents the grounds for a cognitive revolution based on interactions in networks of biological and artificial, intelligent agents. After the industrial revolution, which extended the human body through mechanical machinery, the cognitive revolution extends the human (...) mind/cognition through information-processing machinery. These novel circumstances come with new qualities and preferences demanding new conceptualizations. We have some work ahead of us to establish value systems and practices extended from the real to the increasingly virtual/info-computational. This paper first presents a current view of the virtual versus the real and then offers an interpretation framework based on an info-computational understanding of cognition in which agency implies computational processing of informational structures of the world as an infosphere. The notion of “good life” is discussed in light of different ideals of well-being in the infosphere, connecting virtuality as a space of potential and alternative worlds for an agent for whom the reality is a space of actual experiences, in the sense of Deleuze. Even though info-computational framework enables us to see both the real world and the diversity of virtual worlds in terms of computational processes on informational structures, based on a distinct layered cognitive architecture of all physical agents, there is clear difference between potential worlds of the virtual and actual agent’s experiences made in the real. Info-computationalism enables insight into the mechanisms of infosphere and elucidates its importance as cognitively predominant environment and communication media. The conclusion is that by cocooning ourselves in an elaborate info-computational infrastructure of the virtual, we may be increasingly isolating ourselves from the reality of direct experience of the world. The biggest challenges of the cognitive revolution may not be technological but ethical. They are about the nature of being human and its values. (shrink)

Just as the development of relativity theory and quantum mechanics have been the defining events of twentieth-century science, the burgeoning field of cognitive science is often trumpeted as being a glimpse into the future of the center of science in the coming century. In this paper, we examine this claim, asking whether the so-called cognitive “revolution” is indeed revolutionary or, on theother hand, is merely a flash-in-the-pan, scientifically speaking. As a point of perspective on this question, the (...) paper looks at the claims and accomplishments of artificial inteIligence, as well as the research agenda of workers in the currently fashionable field of artificial life. The paper concludes with some speculations about what directions the “cognitive revolution” is likely to take over the comingdecade or two. (shrink)

The basic idea of the particular way of understanding mental phenomena that has inspired the "cognitive revolution" is that, as a result of certain relatively recent intellectual and technological innovations, informed theorists now possess a more powerfully insightful comparison or model for mind than was available to any thinkers in the past. The model in question is that of software, or the list of rules for input, output, and internal transformations by which we determine and control the workings (...) of a computing machine's hardware. Although this comparison and its many implications have dominated work in the philosophy, psychology, and neurobiology of mind since the end of the Second World War, it now shows increasing signs of losing its once virtually unquestioned preeminence. Thus we now face the question of whether it is possible to repair and save this model by means of relatively inessential "tinkering", or whether we must reconceive it fundamentally and replace it with something different. In this book, twenty-eight leading scholars from diverse fields of "cognitive science"-linguistics, psychology, neurophysiology, and philosophy- present their latest, carefully considered judgements about what they think will be the future course of this intellectual movement, that in many respects has been a watershed in our contemporary struggles to comprehend that which is crucially significant about human beings. Jerome Bruner, Noam Chomsky, Margaret Boden, Ulric Neisser, Rom Harre, Merlin Donald, among others, have all written chapters in a non-technical style that can be enjoyed and understood by an inter-disciplinary audience of psychologists, philosophers, anthropologists, linguists, and cognitive scientists alike. (shrink)

Rom Harré’s career spans more than 40 years of original contributions to the development of both psychology and other human and social sciences. Recognized as a founder of modern social psychology, he developed the microsociological approach ‘ethogenics’ and facilitated the discursive turn within psychology, as well as developed the concept of positioning theory. Used within both philosophy and social scientific approaches aimed at conflict analysis, analyses of power relations, and narrative structures, the development and impact of positioning theory can be (...) understood as part of a second cognitive revolution. Whereas the first cognitive revolution involved incorporating cognition as both thoughts and feelings as an ineliminable part of psychology and social sciences, this second revolution released this cognition from a focus on individuals, and towards a focus of understanding individuals as participating in public practices using public discourses as part of their cognition. This edited volume adds to the scholarly conversation around positioning theory, evaluates Rom Harré’s significance for the history and development of psychology, and highlights his numerous theoretical contributions and their lasting effects on the psychological and social sciences. Included among the chapters: What is it to be a human being? Rom Harré on self and identity The social philosophy of Harré as a philosophy of culture The discursive ontology of the social world Ethics in socio-cultural psychologies Discursive cognition and neural networks The Second Cognitive Revolution: A Tribute to Rom Harré is an indispensable reader for anyone interested in his cognitive-historical turn, and finds an audience with academics and researchers in the social and human science fields of cognitive psychology, social psychology, discursive psychology, philosophy, sociology, and ethnomethodology. (shrink)

Since the 1950s, the cognitive revolution has been transforming work in psychology, linguistics, and anthropology. Literary scholars, however, have only recently begun to grapple with the significance of cognitive understandings of language, mind, and behavior for literary and cultural studies. This unique issue of Poetics Today brings the concerns of literary history and cultural studies for the first time into a sustained and productive dialogue with cognitive methods, findings, and paradigms.The introduction situates the collection in relation (...) to previous work, defines the issues, highlights the stakes. Articles by Mark Turner and Paul Hernadi propose a bold extension of notions of literary history to include not only preliterature oral forms but the entire history of the species, viewing literary activity as a crucial human adaptation. Ellen Spolsky's essay provides an unprecedented statement of common ground shared by cognitive-evolutionary approaches and poststructuralist theory. The final three essays examine works by Aphra Behn, A. L. Barbauld, and Jane Austen in terms of their contemporary cultural and political contexts as well as in light of paradigms drawn from cognitive neuroscience and evolutionary theory. A commentary by Tony Jackson surveys the entire issue from the viewpoint of an informed outsider. (shrink)

Phenomenon of transdisciplinarity was put into the fore of analysis rather recently. In the article an attempt is made to find out whether it is possible to attribute this phenomenon not only to a science of the 21st century, or we have here the case where some scientific realities come to the attention of researchers with certain delay and has its value for the culture in general? It is possible to judge even the emergence of a kind of cognitive (...) revolution affecting both science culture. We need to find out what is meant by a transdisciplinarity, and how it differs from the inter- or multiransdisciplinarity. In the study the method of historical reconstruction, combining elements of presentism and antiqurism, was implemented. This method allows us to interpret historical events in the context of a specific level of knowledge, and at the same time to evaluate them in terms of modern ideas related to transdisciplinarity, inter- and multidisciplinarity. System-structural method, focused on an integrated analysis of the dynamics of development of cognitive processes in culture was implied as well, and the method of comparative analysis, which is aimed at comparing different but conceptually similar processes in various areas of conceptual art practice. It is in the framework of paradigm adopted a tacit agreement among scientists about the validity and effectiveness of research methods and techniques of inquiry. Within the paradigm, which presupposes certain fundamental principles, goals, and certain values shared by the scientific community, the novel sprouts of radical ideas once emerge. The scientific revolution here means a radical revision of the admissibility of accepted and proven methods, goals and values that are common to the members of the scientific community. Typically, new theories and concepts proposed and already mastered new scientific community, which is gradually replacing its representatives on the key command altitudes. The kernel of scientific community in fact is a style of thinking that is emerged in the context of a particular discipline, and then experience expansion in the form of discursive practices at a wide space of science and culture due to the novel cognitive schemes open the way to synthesize various research domains into a certain integrity. There is no question of the scientific revolution in the sense of Kuhn, since any significant goals and values of the scientific communities are not affected. Nevertheless, in some sense cognitive revolution taking place, the revolution of transdisciplinary type. The adoption of a new style of scientific thinking often gives rise to new types of objects and directions of cognitive activity, a new type of explanation that require new types of research proposals and cultural activities. Thus, the main idea of this article is that along with the Kuhn type scientific revolutions, transdisciplinary type scientific revolutions are conceivable, and even transdisciplinary cognitive types. This revolutions manifests in a change in style of reasoning, and it results in the expansion of this style to wide space of science and culture through the cognitive schemes and techniques, which enables to synthesize research and art activity in some integrity. Adoption of a new way of reasoning and the transition to new discursive practices generates new types of research facilities, new mechanisms of explanation, new cultural blueprints and instruments. Cognitive activity, based on a new style of thinking, involves multidisciplinarity, formation of new scientific and cultural institutions, and, therefore, causes a noticeable social change. Based on an analysis of interdisciplinary, multidisciplinary and transdisciplinary processes in modern science and culture the authors claim that it is namely transdisciplinarity would determine the face of science and culture in the medium term, and will form the basis for the convergence of science, technology, art, and consciousness studies in general. (shrink)

Increasingly, it is accepted wisdom for agricultural scientists to get feedback from indigenous peoples—peasants—about new improved seeds and biotechnologies before their official release from the experiment station. What is not yet accepted wisdom is the importance of cognitive science to research on farmer decision making, especially of the type “Why don't they adopt.” In this paper, the impact of the cognitive revolution on models of farmer decision making is described, and decision making models before and after the (...) cognitive revolution are contrasted. An example of a decision model after the cognitive revolution is given by the Malawi farmer's decision whether to use chemical fertilizers or organic fertilizers or both. Results of testing the model show that in Malawi, smallholders' lack of capital and credit are more important factors constraining use of chemical fertilizers than are indigenous beliefs in organic fertilizers or fears of a future dependency on chemicals. (shrink)

It is argued that the cognitive revolution provided general support for the view that associative learning requires cognitive processing, but only limited support for the view that it requires conscious processing. The point is illustrated by two studies of associative learning that played an important role in the development of the cognitive revolution, but which are surprisingly neglected by Mitchell et al. in the target article.

The first full-scale history of cognitive science, this work addresses a central issue: What is the nature of knowledge?

Traditional scientific views of the conscious self and world we live in are challenged by an unprecedented outburst of emerging new paradigms, theories of consciousness, perceptions of reality, new sciences, new philosophies, epistemologies, and a host of other transformative approaches. This still expanding outburst can be traced, on both logical and chronologic grounds, not to chaos theory, ecology, the new physics, or dozens of other currently ascribed sources, but rather to the cognitive (consciousness) revolution that immediately preceded. These (...) new approaches all share one key feature in common, namely, they all depend, directly or indirectly, upon a refutation and successful overthrow of the long dominant materialist paradigm. This is what was required to shift consciousness from an acausal or "eliminable" status to a functionally indispensable role. Traditional "bottom‐up" micro‐determinism had to be supplemented by a reciprocal, "top‐down" control exerted by mental emergents over lower‐level components. This does not dispose of behaviorism or reductionism, as methodology, but simply incorporates these within a more comprehensive explanatory framework. With the long reign of materialist constraints finally broken, other antireductive views have proliferated but with little regard for what the new paradigm allows. (shrink)

As we rapidly approach the 50th year of the much‐celebrated ‘cognitive revolution’, it is worth reflecting on its widespread impact on individual disciplines and areas of multidisciplinary endeavour. Of specific concern in this paper is the example of the influence of cognitivism's equation of mind and computer in education. Within education, this paper focuses on a particular area of concern to which both mind and computer are simultaneously central: educational technology. It examines the profound and lasting effect of (...) cognitive science on our understandings of the educational potential of information and communication technologies, and further argues that recent and multiple ‘signs of discontent’, ‘crises’ and even ‘failures’ in cognitive science and psychology should result in changes in these understandings. It concludes by suggesting new directions that educational technology research might take in the light of this crisis of cognitivsm. (shrink)

In this review essay, numerous historical errors in The Cognitive Revolution in Psychology by Bernard J. Baars are discussed. Approximately one-half of the book is devoted to interviews of people who have been important in the cognitive revolution, but several of the interviews are less informative than they might have been. Many of the interviews involved a minimum of interaction between Baars and the interviewees. Additionally, interesting topics, the nature of representation for example, are introduced but (...) not considered in sufficient detail to make a contribution to either cognitive science or the history of psychology. (shrink)

For historical epistemology to succeed, it must adopt a defensible set of categories to characterise scientific activity over time. In historically orientated philosophy of science during the twentieth century, the original categories of theory and observation were supplemented or replaced by categories like paradigm, research program and research tradition. Underlying all three proposals was talk about conceptual systems and conceptual structures, attributed to individual scientists or to research communities, however there has been little general agreement on the nature of these (...) structures. Recent experimental research in cognitive science has considerably refined the theory of concepts. Drawing upon the results of that research, philosophers can construct more concrete and empirically defensible representations of conceptual systems. I will suggest that this research supports a modest and useful sense of both normal and revolutionary science, not as epistemological continuities or discontinuities, but as particular patterns of conceptual change. (shrink)

As we rapidly approach the 50th year of the much‐celebrated ‘cognitive revolution’, it is worth reflecting on its widespread impact on individual disciplines and areas of multidisciplinary endeavour. Of specific concern in this paper is the example of the influence of cognitivism's equation of mind and computer in education. Within education, this paper focuses on a particular area of concern to which both mind and computer are simultaneously central: educational technology. It examines the profound and lasting effect of (...) cognitive science on our understandings of the educational potential of information and communication technologies, and further argues that recent and multiple ‘signs of discontent’, ‘crises’ and even ‘failures’ in cognitive science and psychology should result in changes in these understandings. It concludes by suggesting new directions that educational technology research might take in the light of this crisis of cognitivsm. (shrink)

One common factor underlying the set of disciplines clustered together under the label of Cognitive Science is a computational model of the mind. Cognitive capacities are to be treated as information-processing operations and to be characterized in computational terms. Computational processes are defined, in turn, in terms of operations on representations. For a few years, one of the most important debates in Cognitive Science has been whether the class of mechanisms to which cognizers belong and to which (...) the computational modelling project of cognitive processes refers is best represented by classical or connectionist approaches. In either a classical or connectionist fashion though, the cognitive scientific style has remained computational all the way through. (shrink)

The article presents an epistemological and partially methodological analysis of cognitive science as a scientific discipline, created as a result of the transformations that took place in the philosophical and psychological concepts of the mind and cognition, which were carried out with the aid of tools and methods of modelling as well as through simulating human cognitive processes and consciousness. In order to describe this interdisciplinary science, and its positions, as well as the stages and directions of its (...) development, it makes use of the epistemological model formulated by Michel Foucault, in which he draws attention to social, ideological and technological conditions of scientific knowledge. The opinions of the leading creators and critics of cognitive science, such as George A. Miller, Howard Gardner, Margaret Boden and José Luis Bermúdez are referenced to and analyzed with the use of this model. The article shows the epistemologically and methodologically divergent status of cognitive science, as well as its cognitive and institutional conditions and challenges, which stand before it after half a century of intensive development. (shrink)

During the last fifty years three major ways of defining a science of psychology have been proposed and tried out.

We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization (...) in order to explain cognition. To a large extent, practicing cognitive neuroscientists have already accepted this shift, but philosophical theory has not fully acknowledged and appreciated its significance. As a result, the explanatory framework underlying cognitive neuroscience has remained largely implicit. We explicate this framework and demonstrate its contrast with previous approaches. (shrink)

Thomas Kuhn's Structure of Scientific Revolutions became the most widely read book about science in the twentieth century. His terms 'paradigm' and 'scientific revolution' entered everyday speech, but they remain controversial. In the second half of the twentieth century, the new field of cognitive science combined empirical psychology, computer science, and neuroscience. In this book, the theories of concepts developed by cognitive scientists are used to evaluate and extend Kuhn's most influential ideas. Based on case studies of (...) the Copernican revolution, the discovery of nuclear fission, and an elaboration of Kuhn's famous 'ducks and geese' example of concept learning, this volume, first published in 2006, offers accounts of the nature of normal and revolutionary science, the function of anomalies, and the nature of incommensurability. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in (...) the study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

_Abstract_: Fueled by the rapid development of neuroscientific tools and techniques, some scholars consider the shift from traditional cognitive psychology toward cognitive neuroscience to be a _revolution_ (most notably Boone and Piccinini). However, the term “revolution” in philosophy of science can easily be construed as involving a paradigm shift in the sense of Kuhn’s _The Structure of Scientific Revolutions_. Is a Kuhnian account sound in the case at hand? To answer this question, we consider heuristic indicators of (...) two features of paradigm shifts: the incommensurability of ontologies; and a gap between scientific communities. Based on our evidence, we argue that no revolution has occurred (at least, not yet). _Keywords_: Cognitive Neuroscience; Cognitive Psychology; Philosophy of Science; Thomas Kuhn; Scientometrics _La “rivoluzione delle neuroscienze cognitive” non è una rivoluzione (in senso kuhniano). Evidenze scientometriche _ _Riassunto_:_ _Complice il rapido sviluppo di strumenti e tecniche in neuroscienze, alcuni studiosi (in particolare Boone e Piccinini) intendono il passaggio dalla psicologia cognitiva classica alla neuroscienza cognitiva nei termini di una _rivoluzione_. Tuttavia, il termine ‘rivoluzione’ in filosofia della scienza è strettamente associato alla nozione di successione di paradigmi esposta da Kuhn ne _La struttura delle rivoluzioni scientifiche_. Obiettivo di questo lavoro è capire se effettivamente la concezione kuhniana offra una corretta descrizione di questa dinamica storica. In particolare, prenderemo in esame due indicatori euristici delle rivoluzioni kuhniane: l’incommensurabilità ontologica trai due paradigmi e la diversa composizione demografica delle comunità scientifiche. Sulla base delle evidenze scientometriche che prenderemo in esame, affermeremo che non è avvenuta nessuna rivoluzione (almeno per ora). _Parole chiave_: Neuroscienze cognitive; Psicologia cognitiva; Filosofia della scienza; Thomas Kuhn; Scientometria. (shrink)

Kuhn’s Structure of Scientific Revolutions is notable for the readiness with which it drew on the results of cognitive psychology. These naturalistic elements were not well received and Kuhn did not subsequently develop them in his pub- lished work. Nonetheless, in a philosophical climate more receptive to naturalism, we are able to give a more positive evaluation of Kuhn’s proposals. Recently, philosophers such as Nersessian, Nickles, Andersen, Barker, and Chen have used the results of work on case-based reasoning, analogical (...) thinking, dynamic frames, and the like to illuminate and develop various aspects of Kuhn’s thought in Structure. In particular this work aims to give depth to the Kuhnian concepts of a paradigm and incommensurability. I review this work and identify two broad strands of research. One emphasizes work on concepts; the other focusses on cognitive habits. After contrasting these, I argue that the conceptual strand fails to be a complete account of scientific revolutions. We need a broad approach that draws on a variety of resources in psychology and cognitive science. (shrink)

What is cognition? What makes a process cognitive? These questions have been answered differently by various investigators and theoretical traditions. Even so, there are some commonalities, allowing us to specify a few contrasting answers to these questions. The main commonalities involve the notion that cognition is information processing that explains intelligent behavior. The differences concern whether early perceptual processes are cognitive, whether representations are needed to explain cognition, what makes something a representation, and whether cognitive processes are (...) limited to the nervous system and brain or include other bodily structures or the environment itself. After unearthing some root notions of cognition in the development of cognitive psychology and cognitive science, this chapter considers the commonalities and differences just scouted, examines Wheeler’s (2005) reference to Descartes’ works in describing “Cartesian” cognitive theory, finds the real target of situated approaches in classical symbolic cognitive science, and suggests that instead of revisiting that target attention should turn to the varieties of intelligent (adaptive, appropriate, flexible) behavior. (shrink)

We argue that one important aspect of the “cognitive neuroscience revolution” identified by Boone and Piccinini :1509–1534. doi: 10.1007/s11229-015-0783-4, 2015) is a dramatic shift away from thinking of cognitive representations as arbitrary symbols towards thinking of them as icons that replicate structural characteristics of their targets. We argue that this shift has been driven both “from below” and “from above”—that is, from a greater appreciation of what mechanistic explanation of information-processing systems involves, and from a greater appreciation (...) of the problems solved by bio-cognitive systems, chiefly regulation and prediction. We illustrate these arguments by reference to examples from cognitive neuroscience, principally representational similarity analysis and the emergence of dynamical models as a central postulate in neurocognitive research. (shrink)

Cognition played a pivotal role in the acceleration of technological innovation during the Industrial Revolution. Growing affluence may have provided favourable environmental conditions for a boost in cognition, enabling individuals to tackle more complex problems. Dynamical systems thinking may provide useful tools to describe sudden transitions like the Industrial Revolution, by modelling the recursive feedback between psychology and environment.