Vādanyāya is one of the representative works of Dharmakīrti. It is concerned with debate logic and deals with win-or-lose reasoning rules in the broad sense of logic. In this paper, we will concentrate our discussion on Dharmakīrti’s theory of nigrahasthāna (fault) in his debate logic, a key issue in Vādanyāya. First, we point out that the justification of three logical reasons as proof conditions of debate constitutes the rational point of departure for Dharmakīrti’s debate logic. Second, we analyze the differences (...) between Dharmakīrti’s and the Naiyāyika’s notion of debate and point out that Dharmakīrti’s ‘debate’ involves two parties (the disputant and the opponent) attempting to rationally refute the other’s opinion to persuade the other to change their wrong ideas. Last, based on the discussion of Dharmakīrti’s concept of debate logic, we identify seven types of nigrahasthāna in Vādanyāya with regard to the two parties of a debate (the disputant and the opponent). (shrink)

Purpose: This paper is a brief introduction to enactive cognitive science: a description of some of the main research concerns; some examples of how such concerns have been realized in actual research; some of its research methods and proposed explanatory mechanisms and models; some of the potential as both a theoretical and applied science; and several of the major open research questions. Findings: Enactive cognitive science is an approach to the study of mind that seeks (...) to explain how the structures and mechanisms of autonomous cognitive systems can arise and participate in the generation and maintenance of viable perceiver-dependent worlds -- rather than more conventional cognitivist efforts, such as the attempt to explain cognition in terms of the ``recovery'' of (pre-given, timeless) features of The (objectively-existing and accessible) World. As such, enactive cognitive science is resonant with radical constructivism. Research implications: As with other scientific efforts conducted within a constructivist orientation, enactive cognitive science is broadly ``conventional'' in its scientific methodology. That is, there is a strong emphasis on testable hypotheses, empirical observation, supportable mechanisms and models, rigorous experimental methods, acceptable criteria of validation, and the like. Nonetheless, this approach to cognitive science does also raise a number of specific questions about the scope of amenable phenomena (e.g., meaning, consciousness, etc.) -- and it also raises questions of whether such a perspective requires an expansion of what is typically considered within the purview of scientific method (e.g., the role of the observer/scientist). (shrink)

This article critically examines the views that psychology first came into existence as a discipline ca. 1879, that philosophy and psychology were estranged in the ensuing decades, that psychology finally became scientific through the influence of logical empiricism, and that it should now disappear in favor of cognitive science and neuroscience. It argues that psychology had a natural philosophical phase (from antiquity) that waxed in the seventeenth and eighteenth centuries, that this psychology transformed into experimental psychology ca. 1900, (...) that philosophers and psychologists collaboratively discussed the subject matter and methods of psychology in the first two decades of the twentieth century, that the neobehaviorists were not substantively influenced by the Vienna Circle, that the study of perception and cognition in psychology did not disappear in the behaviorist period and so did not reemerge as a result of artificial intelligence, linguistics, and the computer analogy, that although some psychologists adopted the language-of-thought approach of traditional cognitive science, many did not, and that psychology will not go away because it contributes independently of cognitive science and neuroscience. (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 (...) class='Hi'>cognitive science, and allows us to begin to understand how the brain works and makes us feel as we read. (shrink)

Núñez et al (2019) argue (1) that the field of Cognitive Science has failed, in that it has not arrived at a cohesive theory, and (2) that this is contrary to the intentions of the founders. Their survey of publication and citation patterns bears out the lack of a cohesive theory and also provides corroboration for (3) the concern that the field is becoming unbalanced, with psychology overweighted (Gentner, 2010). I will argue against points (1) and (2), but (...) agree with point (3). My central claim is that cognitive science was never meant to have one unified theoretical framework, nor should it have. (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 an interdisciplinary research endeavor focusing on human cognitive phenomena such as memory, language use, and reasoning. It emerged in the second half of the 20th century and is charting new directions at the beginning of the 21st century. This chapter begins by identifying the disciplines that contribute to cognitive science and reviewing the history of the interdisciplinary engagements that characterize it. The second section examines the role that mechanistic explanation plays in (...) class='Hi'>cognitive science, while the third focuses on the importance of mental representations in specifically cognitive explanations. The fourth section considers the interdisciplinary nature of cognitive science and explores how multiple disciplines can contribute to explanations that exceed what any single discipline might accomplish. The conclusion sketches some recent developments in cognitive science and their implications for philosophers. (shrink)

In this article, I analyze how the relationship of developmental psychology with general psychology and cognitive science has unfolded. This historical analysis will provide a background for a critical examination of the present state of the art. I shall argue that the study of human mind is inherently connected with the study of its development. From the beginning of psychology as a discipline, general psychology and developmental psychology have followed parallel and relatively separated paths. This separation between adult (...) and child studies has also persisted with the emergence of cognitive science. The reason is due essentially to methodological problems that have involved not only research methods but also the very object of inquiry. At present, things have evolved in many ways. Psychology and cognitive science have enlarged their scope to include change process and the interaction between mind and environment. On the other hand, the possibility of using experimental methods to study infancy has allowed us to realize the complexity of young humans. These facts have paved the way for new possibilities of convergence, which are eliciting interesting results, despite a number of ongoing problems related to methods. (shrink)

In this chapter, the author considers a line of thought in Arthur Danto in that regard about the bearing of cognitive science on our construal of changes in art. For Danto, a key to the issue of how to understand change in art forms and artistic identities is found in his fundamental notion that both the meaning and the style of a work of art are historically indexed; that is, they depend on historical conditions. Danto's skepticism about facile (...) changes in world views is born out of his theory that the history of such changes has certain logic, defined over basic or fundamental forms of action and thought; a view that applies as much to science as it does to art. The author's claim has been that recent research shows that, logical deductions aside, advances in cognitive science suggest that the language of art criticism will have to change. (shrink)

I discuss the role of economics in the study of social cognition. A currently popular view is that microeconomics should collapse into psychology partly because cognitive science has shown that valuation is constitutively social, whereas non-psychological economics insists that it is not. In the paper I resist this view, partly by reference to the relevant history of economic theory, and partly by reference to an alternative model of the way in which that theory complements, without reducing to, psychological (...) accounts of social cognition. (shrink)

Credences are similar to levels of confidence, represented as a value on the [0,1] interval. This chapter sheds light on questions about credence, including its relationship to full belief, with an eye toward the empirical relevance of credence. First, I’ll provide a brief epistemological history of credence and lay out some of the main theories of the nature of credence. Then, I’ll provide an overview of the main views on how credences relate to full beliefs. Finally, I’ll turn to the (...) empirical, and suggest some ways that cognitive science does and could answer questions about credence, such as what credences one has, how credences relate to beliefs, and the extent to which we can control our credences. (shrink)

A cognitive scientific approach to religion reveals the moral role of religion in human evolutionary history and provides insight into the continuing influence of religion in human affairs. While morality can be understood and justified apart from any religious foundation, religion cannot be separated from its moral function. After setting out the evolved cognitive bases of religious beliefs and behaviors, a model for the nexus between religion and morality is developed. From this it follows that religions constitute moral (...) worldviews that emerge from and tap into deep moral and emotional instincts. This makes religion, and moral worldviews more generally, profoundly important, but also makes them dangerously problematic. A case study of the intersection of religion, race, and politics in contemporary American presidential politics will be used to explicate these ideas. Keywords: religion, morality, cognitive science, evolution, worldviews. (shrink)

This paper considers the past and future of Psychology within Cognitive Science. In the history section, I focus on three questions: (a) how has the position of Psychology evolved within Cognitive Science, relative to the other disciplines that make up Cognitive Science; (b) how have particular Cognitive Science areas within Psychology waxed or waned; and (c) what have we gained and lost. After discussing what’s happened since the late 1970s, when the Society (...) and the journal began, I speculate about where the field is going. (shrink)

Cognitive science is a cross-disciplinary enterprise devoted to understanding the nature of the mind. In recent years, investigators in philosophy, psychology, the neurosciences, artificial intelligence, and a host of other disciplines have come to appreciate how much they can learn from one another about the various dimensions of cognition. The result has been the emergence of one of the most exciting and fruitful areas of inter-disciplinary research in the history of science. This volume of original essays surveys (...) foundational, theoretical, and philosophical issues across the discipline, and introduces the foundations of cognitive science, the principal areas of research, and the major research programs. With a focus on broad philosophical themes rather than detailed technical issues, the volume will be valuable not only to cognitive scientists and philosophers of cognitive science, but also to those in other disciplines looking for an authoritative and up-to-date introduction to the field. (shrink)

The Relevance of Cognitive Science to Teaching, Proceedings of the 6th International History, Philosophy & Science Teaching Conference (IHPST), Denver, Colorado, November 7-10, 2001. (PDF).

Cognitive science is the project of understanding the mind by modelling its workings. Its development is one of the most remarkable and fascinating intellectual achievements of the modern era. Mind as Machine is a masterful history of cognitive science, told by one of its most eminent practitioners.

This paper reviews the uneven history of the relationship between Anthropology and Cognitive Science over the past 30 years, from its promising beginnings, followed by a period of disaffection, on up to the current context, which may lay the groundwork for reconsidering what Anthropology and (the rest of) Cognitive Science have to offer each other. We think that this history has important lessons to teach and has implications for contemporary efforts to restore Anthropology to its proper (...) place within Cognitive Science. The recent upsurge of interest in the ways that thought may shape and be shaped by action, gesture, cultural experience, and language sets the stage for, but so far has not fully accomplished, the inclusion of Anthropology as an equal partner. (shrink)

[from the publisher's website] Questions about the existence and attributes of God form the subject matter of natural theology, which seeks to gain knowledge of the divine by relying on reason and experience of the world. Arguments in natural theology rely largely on intuitions and inferences that seem natural to us, occurring spontaneously—at the sight of a beautiful landscape, perhaps, or in wonderment at the complexity of the cosmos—even to a nonphilosopher. In this book, Helen De Cruz and Johan De (...) Smedt examine the cognitive origins of arguments in natural theology. They find that although natural theological arguments can be very sophisticated, they are rooted in everyday intuitions about purpose, causation, agency, and morality. Using evidence and theories from disciplines including the cognitive science of religion, evolutionary ethics, evolutionary aesthetics, and the cognitive science of testimony, they show that these intuitions emerge early in development and are a stable part of human cognition. -/- De Cruz and De Smedt analyze the cognitive underpinnings of five well-known arguments for the existence of God: the argument from design, the cosmological argument, the moral argument, the argument from beauty, and the argument from miracles. Finally, they consider whether the cognitive origins of these natural theological arguments should affect their rationality. (shrink)

Eugenic thinking involves distinguishing between sorts or kinds of people in terms of the perceived desirable or undesirable traits that those people are likely to transmit to future generations. While eugenics itself is often thought of as an ideology that generated a social movement of global influence from roughly 1900 to 1945, eugenic thinking both pre-dates this period and continues to inform a range of contemporary debates and social policies, including those concerning prenatal screening, transhumanism, population control, and disability. Various (...) sciences, including the then-nascent sciences of psychology and psychiatry, played important roles in early twentieth-century eugenics, and their legacy is reflected in contemporary eugenic thinking and policies. Understanding the history of eugenics and the role of these early sciences of cognition in that history is useful in reflecting further on ongoing forms of eugenic thinking to which the contemporary cognitive sciences are relevant. (shrink)

_Abstract_: We imagine the future of cognitive science by first considering its past, which shows remarkable transformation from a field that, although interdisciplinary, was initially marked by a narrow set of assumptions concerning its subject matter. In the last decades, multiple alternative frameworks with radically different ontological and epistemic commitments (e.g., situated cognition, embodied cognition, extended mind) found broad support. We address the question of how to understand these changes, noting as logical alternatives that (1) newer approaches are (...) not properly _cognitive_; (2) that newer approaches are cognitive but not _science_; and (3) that cognitive science has become pluralistic. We endorse the third position and venture to guess that the future of cognitive science is also pluralistic. We are left, however, with the question of what this _means. _After noting the polysemous nature of the term “pluralism”, we attempt to add clarity by distinguishing three forms: ontological, epistemic, and ethical. We then consider what each form might imply for the future of cognitive science. _Keywords_: Cognitive Science; Pluralism; Relativism; History of Science; Philosophy of Science _Il futuro della scienza cognitiva è pluralista, ma che vuol dire?_ _Riassunto_: Pensiamo al futuro della scienza cognitiva in primo luogo considerando il suo passato, il quale è notevolmente cambiato rispetto al presente. Per quanto si proponesse come un campo di studi interdisciplinari, la scienza cognitiva delle origini era caratterizzata da un insieme ristretto di assunzioni riguardanti il proprio oggetto. Negli ultimi decenni hanno trovato supporto diverse cornici teoriche in reciproca competizione e con impegni ontologici ed epistemologici radicalmente differenti (si pensi, per esempio, alla cognizione situata, alla cognizione incarnata, alla mente estesa). Proveremo a dare risposta alla domanda su come intendere questi cambiamenti, prendendo atto che ci troviamo di fronte a una serie di posizioni che sono logicamente alternative fra loro: (1) gli approcci più recenti non sono propriamente _cognitivi_; (2) oppure che gli approcci più recenti sono cognitivi, ma non _scientifici_; (3) la scienza cognitiva è diventata pluralista. Noi crediamo che la terza posizione sia corretta e scommettiamo su un futuro della scienza cognitiva che sia anche pluralista. Resta aperto, tuttavia, il problema di cosa questo _significhi_. Dopo aver preso atto della natura polisemica del termine “pluralismo”, cercheremo di far chiarezza distinguendo tre forme di pluralismo: ontologico, epistemico, ed etico. Considereremo quindi ciò che ciascuna può comportare per il futuro della scienza cognitiva. _Parole chiave_: Scienza cognitiva; Pluralismo; Relativismo; Storia della scienza; Filosofia della scienza. (shrink)

Hume was a cognitive scientist of religion avant la lettre. His Natural History of Religion (1757 [2007]) locates the origins of religion in human nature. This paper explores similarities between some of his ideas and the cognitive science of religion, the multidisciplinary study of the psychological origins of religious beliefs. It also considers Hume’s distinction between two questions about religion: its foundation in reason (the domain of natural theology and philosophy of religion) and its origin in human (...) nature (the domain of cognitive science of religion). (shrink)

Much has been written on witchcraft by historians, theologians, philosophers, and anthropologists, but nothing by scientists. This book aims to reappraise witchcraft by applying to it the advances in cognitive sciences. The book is divided into four parts. Part One: Deep History deals with human emotions and drives to deepen the phenomenology of evil witchcraft agency and its female feature. Part Two: Historical Times focuses on the natural control of malefice that engendered rare state and church repressions. Surprisingly, Islamic (...) lands remained immune from stakes. Modern urbanizations are considered a blow to the persistence of rural civilizations that embedded witchcraft in their vision. Part Three: In the Laboratory applies neurosciences to specific case studies such as the personalization of misfortune, the millenary stereotype witch=woman, the reality of evil, and the contagious meme of treasure hunts. Part Four: Millennials wonders whether intentional malefic hatred is a closed chapter in the history of humanity. An Anatomy of Witchcraft is ideal reading for students and scholars. Given its interdisciplinary nature, the book will be of interest to scholars from many fields including evolutionary psychology, anthropology, women's history, and cognitive sciences. (shrink)

For all of recorded history prior to the second half of the twentieth century, there has been but one realm in which the cognitive processes of reasoning and problem solving, learning and discovery, language and mathematics took place. The realm of human intellect no longer has an exclusive claim on these cognitive processes--artificial intelligence represents a parallel claim. Wagman compares the two realms, focusing on each of the major components of cognition: logic, reasoning, problem-solving, language, memory, learning, and (...) discovery. He identifies consonant and disparate modes of cognition, and develops a general theory of human and artificial intelligence. (shrink)

An examination of the fundamental role cybernetics played in the birth of cognitive science and the light this sheds on current controversies. The conceptual history of cognitive science remains for the most part unwritten. In this groundbreaking book, Jean-Pierre Dupuy—one of the principal architects of cognitive science in France—provides an important chapter: the legacy of cybernetics. Contrary to popular belief, Dupuy argues, cybernetics represented not the anthropomorphization of the machine but the mechanization of the (...) human. The founding fathers of cybernetics—some of the greatest minds of the twentieth century, including John von Neumann, Norbert Wiener, Warren McCulloch, and Walter Pitts—intended to construct a materialist and mechanistic science of mental behavior that would make it possible at last to resolve the ancient philosophical problem of mind and matter. The importance of cybernetics to cognitive science, Dupuy argues, lies not in its daring conception of the human mind in terms of the functioning of a machine but in the way the strengths and weaknesses of the cybernetics approach can illuminate controversies that rage today—between cognitivists and connectionists, eliminative materialists and Wittgensteinians, functionalists and anti-reductionists. Dupuy brings to life the intellectual excitement that attended the birth of cognitive science sixty years ago. He separates the promise of cybernetic ideas from the disappointment that followed as cybernetics was rejected and consigned to intellectual oblivion. The mechanization of the mind has reemerged today as an all-encompassing paradigm in the convergence of nanotechnology, biotechnology, information technology, and cognitive science. The tensions, contradictions, paradoxes, and confusions Dupuy discerns in cybernetics offer a cautionary tale for future developments in cognitive science. (shrink)

Hermeneutics is usually defined as the theory and practice of interpretation. As a discipline it involves a long and complex history, starting with concerns about the proper interpretation of literary, sacred, and legal texts. In the twentieth century, hermeneutics broadens to include the idea that humans are, in Charles Taylor’s phrase, ‘self-interpreting animals’ (Taylor, 1985). In contrast to the narrowly prescriptive questions of textual interpretation, philosophical hermeneutics, as developed by thinkers like Heidegger, Gadamer, and Ricoeur, raises questions about the conditions (...) of possibility for human understanding — not how we should interpret or understand something, but what interpretation and understanding are and how they work. For the nineteenth-century philosopher Wilhelm Dilthey, the hermeneutical disciplines were very different from the disciplines of science, including the newly emerging science of psychology. In contrast to psychology, which, in part, attempts to explain the natural behaviour of human animals in causal terms, Dilthey (1926) thinks of the hermeneutical disciplines as attempting to under- stand the behaviour of human persons in terms of their experience and inner motivation. Inner life is not composed of a series of mechanistic starts and stops, but is woven together into a continuity (Zusammenhang) that has a structure, by.. (shrink)

This book consists of an edited collection of original essays of the highest academic quality by seasoned experts in their fields of cognitive science. The essays are interdisciplinary, drawing from many of the fields known collectively as “the cognitive sciences.” Topics discussed represent a significant cross-section of the most current and interesting issues in cognitive science. Specific topics include matters regarding machine learning and cognitive architecture, the nature of cognitive content, the relationship of (...) information to cognition, the role of language and communication in cognition, the nature of embodied cognition, selective topics in visual cognition, brain connectivity, computation and simulation, social and technological issues within the cognitive sciences, and significant issues in the history of neuroscience. This book will be of interest to both professional researchers and newer students and graduate students in the fields of cognitive science—including computer science, linguistics, philosophy, psychology and neuroscience. The essays are in English and are designed to be as free as possible of technical jargon and therefore accessible to young scholars and to scholars who are new to the cognitive neurosciences. In addition to several entries by single authors, the book contains several interesting roundtables where researchers contribute answers to a central question presented to those in the focus group on one of the core areas listed above. This exciting approach provides a variety of perspectives from across disciplines on topics of current concern in the cognitive sciences. (shrink)

The purpose of this paper is to review the way in which cultural contributions to human nature have been treated within the field of cognitive science. I was initially motivated to write about this topic when invited to give a talk to a Cognitive Science department at a sister university in California a few years ago. My goal, on that occasion, was to convince my audience, none of whom were predisposed to considering culture an integral part (...) of cognitive science, that they would indeed benefit from recognizing some affinities between the ideas of some of the founders of cognitive science and ideas about culture emanating from the Soviet (now Russian) cultural-historical school. My task in presenting this argument to the readers of Outlines is most likely the mirror image of that earlier effort. On the one hand, the ideas of the cultural-historical school are well known to this readership and you do not need to be lectured on the topic by an American whose knowledge of the topic is no greater than your own. At best, the ways in which I have appropriated those ideas and put them to work might provide an opportunity to reflect on the strange fate of ideas when they move between national traditions of thought. On the other hand, owing to a double twist of fate (after all, what was an American doing in Moscow in 1962 doing post-doctoral work in psychology) I was also present during the discussions leading to the founding of Cognitive Science in the early 1970’s and subsequently became a member of the Cognitive Science Program at UCSD in the early 1980’s, arguably one of the pioneering efforts to institutionalize this new discipline. My hope is this unusual confluence of experiences, and the ideas that they have generated, will be of some use to those who see value in a dialogue between these different intellectual projects. With this goal in mind, I will begin by providing my own brief history of key ideas associated with the origins of cognitive science. My presentation will of necessity be highly selective – it is the relevance of the inclusion of culture in cognitive science that is my major focus. I will then summarize some major milestones in the development of cognitive science at UCSD before turning to describe my own fusion of ideas from cultural-historical psychology and cognitive science as a kind of existence proof of the potential value of inter-disciplinary dialogue. (shrink)

Accession Number: ATLA0001788504; Hosting Book Page Citation: p 265-277.; Physical Description: diag ; Language(s): English; Issued by ATLA: 20130825; Publication Type: Essay.

It is commonly thought that Hume endorses the claim that causal cognition can be fully explained in terms of nothing but custom and habit. Associative learning does, of course, play a major role in the cognitive psychology of the Treatise. But Hume recognizes that associations cannot provide a complete account of causal thought. If human beings lacked the capacity to reflect on rules for judging causes and effects, then we could not (as we do) distinguish between accidental and genuine (...) regularities, and Hume could not (as he does) carry out his science of human nature. One might reply that what appears to be rule-governed behavior might emerge from associative systems that do not literally employ rules. But this response fails: there is a growing consensus in cognitive science that any adequate account of causal learning must invoke active, controlled cognitive processes. (shrink)

A recent article (Núñez et al., 2019) claims that cognitive science, while starting off as a multidisciplinary enterprise, has “failed to transition to a mature inter‐disciplinary coherent field.” Two indicators reported in support of this claim target one of the two journals of the Cognitive Science Society, Cognitive Science, depicting cognitive science as an increasingly monodisciplinary subfield which is dominated by psychology. With a focus on the society's other journal, Topics in (...) class='Hi'>Cognitive Science, the present commentary reveals a greater degree of interdisciplinarity and discusses the relative values of diversity and integration for the field. (shrink)

The cognitive science of religion draws on insights from evolutionary psychology, and offers explanations of religious belief based on natural cognitive processes. This article examines a number of competing explanations of religious belief by considering it as a solution to the challenge of cooperation. The challenge of stopping individuals cheating within a cooperative group has been a problem throughout humanity’s evolutionary history. Empirical evidence drawn from fields such as anthropology and psychology suggests that religious beliefs are part (...) of an evolved cognitive system that motivates individuals to cooperate with other members of their group. Three possible evolutionary accounts, the memetic, by‐product, and adaptation accounts, are considered as evolved solutions to the challenge of cooperation. (shrink)

Professor Leiber's exuberant but incisive book illuminates the inquiry's beginnings in Plato, in the physiology and psychology of Descartes, in the formal work of Russell and Gödel, and in Wittgenstein's critique of folk psychology.

This paper reviews the recent history of a subset of research in dynamical cognitive science, in particular that subset that allies itself with the sciences of complexity and casts cognitive systems as interaction dominant, noncomputational, and nonmodular. I look at this history in the light of C.S. Peirce's understanding of scientific reasoning as progressing from abduction to deduction to induction. In particular, I examine the development of a controversy concerning the use of the interaction dominance of human (...) cognitive systems as an explanation of the ubiquitous 1/f noise, multifractality, and complexity matching in human behavior. (shrink)

Review of: Margaret A. Boden, Mind as Machine: A History of Cognitive Science, 2 vols, Oxford: Oxford University Press, 2006, xlvii+1631, cloth $225, ISBN 0-19-924144-9. - Mind as Machine is Margaret Boden’s opus magnum. For one thing, it comes in two massive volumes of nearly 1700 pages, ... But it is not just the opus magnum in simple terms of size, but also a truly crowning achievement of half a century’s career in cognitive science.

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

The study of human intelligence was once dominated by symbolic approaches, but over the last 30 years an alternative approach has arisen. Symbols and processes that operate on them are often seen today as approximate characterizations of the emergent consequences of sub- or nonsymbolic processes, and a wide range of constructs in cognitive science can be understood as emergents. These include representational constructs (units, structures, rules), architectural constructs (central executive, declarative memory), and developmental processes and outcomes (stages, sensitive (...) periods, neurocognitive modules, developmental disorders). The greatest achievements of human cognition may be largely emergent phenomena. It remains a challenge for the future to learn more about how these greatest achievements arise and to emulate them in artificial systems. (shrink)

The Dictionary of World Philosophy covers the diverse and challenging terminology, concepts, schools and traditions of the vast field of world philosophy. Providing an extremely comprehensive resource and an essential point of reference in a complex and expanding field of study the Dictionary covers all major subfields of the discipline. Key features: * Cross-references are used to highlight interconnections and the cross-cultural diffusion and adaptation of terms which has taken place over time * The user is led from specific terms (...) to master entries which provide valuable historical and cultural context * Each master entry is followed by at least two suggestions for further reading on the subject, creating a substantial bibliography of world philosophy * References extend beyond philosophy to related areas such as cognitive science, computer science, language and physics Subdisciplines covered include: * aesthetics * ethics * sociopolitical philosophy * the philosophy of law * epistemology * logic * the philosophy of science * the philosophy of mind * the philosophy of culture and history * metaphysics * the philosophy of religion Entries are drawn from West Africa, Arabic, Chinese, Indian, Japanese, Jewish, Korean, Latin American, Maori and Native American philosophy including the important and so far largely neglected instance of Pre-Hispanic thought: Nahua philosophy. (shrink)

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

Within contemporary science, it is common practice to compare data points to the average, i.e., to the statistical mean. Because this practice is so familiar, it might at first appear not to be the sort of thing that requires explanation. But recent research in cognitive science and in the history of science gives us reason to adopt the opposite perspective. Cognitive science research on the ways people ordinarily make sense of the world suggests that, (...) instead of using a purely statistical notion of the average, people tend to use a value-laden notion of the normal. Similarly, historical research on the scientific practices used in other time periods indicates that, prior to the nineteenth century, scientists tended to make use of a notion of the normal that was overtly value-laden. These findings give us reason to rethink certain familiar facts about scientific practice. In particular, they suggest that the fact that scientists so often make use of the statistical average should be seen as a highly surprising fact, the sort of thing that calls out for explanation. (shrink)

The conceptual history of cognitive science remains for the most part unwritten. In this groundbreaking book, Jean-Pierre Dupuy--one of the principal architects of cognitive science in France--provides an important chapter: the legacy of cybernetics. Contrary to popular belief, Dupuy argues, cybernetics represented not the anthropomorphization of the machine but the mechanization of the human. The founding fathers of cybernetics--some of the greatest minds of the twentieth century, including John von Neumann, Norbert Wiener, Warren McCulloch, and Walter (...) Pitts--intended to construct a materialist and mechanistic science of mental behavior that would make it possible at last to resolve the ancient philosophical problem of mind and matter. The importance of cybernetics to cognitive science, Dupuy argues, lies not in its daring conception of the human mind in terms of the functioning of a machine but in the way the strengths and weaknesses of the cybernetics approach can illuminate controversies that rage today--between cognitivists and connectionists, eliminative materialists and Wittgensteinians, functionalists and anti-reductionists. Dupuy brings to life the intellectual excitement that attended the birth of cognitive science sixty years ago. He separates the promise of cybernetic ideas from the disappointment that followed as cybernetics was rejected and consigned to intellectual oblivion. The mechanization of the mind has reemerged today as an all-encompassing paradigm in the convergence of nanotechnology, biotechnology, information technology, and cognitive science. The tensions, contradictions, paradoxes, and confusions Dupuy discerns in cybernetics offer a cautionary tale for future developments in cognitive science. (shrink)

It is worth noting that Wittgenstein provides an argument against analyticity that Quine allows. For Wittgenstein holds that even explicit conventions cannot determine "how one is to go on". I do not mean that Wittgenstein objects to analyticity. But this means he accounts for it in precisely the sorts of ways that Quine mentions but fails to pursue.

The paper argues that it is the rise of Artificial Intelligence as a concrete possibility (the idea of a thinking machine) that favoured the growth of interest in Cognitive Science within the academic community. This puts the history and the definition of AI in a different light, as it can be seen and understood as "a continuation of Philosophy by other means" (Landi, 2020) and not merely as a technology or a sum of technologies.

Dans cet article, nous proposons d’examiner certains des usages qui sont faits de Descartes en sciences cognitives. Il s’agit plus précisément de s’attacher à la façon dont se trouve pensé l’héritage du cartésianisme dans la science cognitive orthodoxe, souvent conçue comme « cartésienne ». Comment en vient-on à former cette idée de science cognitive cartésienne? Nous répondons en nous appuyant sur deux analyses, celles de Timothy van Gelder et de Michael Wheeler, avec pour objectif de mettre (...) au jour les aspects de la philosophie de Descartes qui sont ici mobilisés, ainsi que les opérations intellectuelles et pratiques qui permettent à ces auteurs d’extraire le cartésianisme de son milieu originel pour le placer sur le terrain de la science cognitive contemporaine. (shrink)

To which extent is it justified to adopt Kant as a godfather of cognitive science? To prepare the stage for an answer of this question, we need to set aside Kant’s general transcendental approach to the mind which is radically anti-empiricist and instead turn our attention to his specific topics and claims regarding the mind which are often not focus of Kant’s epistemological investigations. If someone is willing to take this stance, it turns out that there are many (...) bridges connecting Kant with contemporary cognitive science. We investigate possible bridges suggested in the literature between some of Kant’s central claims about consciousness, mental content, and functions of mind, and some specific treatments of these topics in contemporary philosophy of mind and cognitive science. While doing so, we offer additional arguments for some proposed bridges, reconstruct others and completely destroy still other bridges by demonstrating that some suggested links between Kant and cognitive science remain only apparent. (shrink)

Human behavior and thought often exhibit a familiar pattern of within group similarity and between group difference. Many of these patterns are attributed to cultural differences. For much of the history of its investigation into behavior and thought, however, cognitive science has been disproportionately focused on uncovering and explaining the more universal features of human minds—or the universal features of minds in general. -/- This entry charts out the ways in which this has changed over recent decades. It (...) sketches the motivation behind the cultural turn in cognitive science, and situates some of its central findings with respect to the questions that animate it and the debates that it has inspired. Woven throughout the entry are examples of how the cognitive science of culture, and especially its elevated concern with different forms of diversity and variation, continues to influence and be influenced by philosophers. -/- One cluster of philosophical work falls within the traditional subject matter of philosophy of science, in this case of the cognitive and social sciences. Philosophers have analyzed and assessed the methods and evidence central to the scientific study of cognition and culture, and have offered conceptual scrutiny, clarification, and synthesis. Research in a second vein sees philosophers themselves contributing more directly to cognitive scientific projects, (co)constructing theories, helping build computational models, even gathering empirical data. A third kind of work is naturalistic philosophy or philosophy of nature, wherein philosophers seek to use results from the cognitive science of culture to inform or transform debates over long-standing philosophical questions, including questions about the nature of philosophy and philosophical methodology itself. (shrink)

We introduce a new metric for interdisciplinarity, based on co-author publication history. A published article that has co-authors with quite different publication histories can be deemed relatively “interdisciplinary,” in that the article reflects a convergence of previous research in distinct sets of publication outlets. In recent work, we have shown that this interdisciplinarity metric can predict citations. Here, we show that the journal Cognitive Science tends to contain collaborations that are relatively high on this interdisciplinarity metric, at about (...) the 80th percentile of all journals across both social and natural sciences. Following on Goldstone and Leydesdorff, we describe how scientometric tools provide a valuable means of assessing the role of cognitive science in broader scientific work, and also as a tool to investigate teamwork and distributed cognition. We describe how data-driven metrics of this kind may facilitate this exploration without relying upon rapidly changing discipline and topic keywords associated with publications. (shrink)

Neuroethology is a branch of biology that studies the neural basis of naturally occurring animal behavior. This science, particularly a recent program called computational neuroethology, has a similar structure to the interdisciplinary endeavor of cognitive science. I argue that it would be fruitful to conceive of cognitive science as the computational neuroethology of humans. However, there are important differences between the two sciences, including the fact that neuroethology is much more comparative in its perspective. Neuroethology (...) is a biological science and as such, evolution is a central notion. Its target organisms are studied in the context of their evolutionary history. The central goal of this paper is to argue that cognitive science can and ought to be more comparative in its approach to cognitive phenomena in humans. I show how the domain of cognitive phenomena can be divided up into four different classes, individuated by the relative phylogenetic uniqueness of the behavior. I then describe how comparative evidence can enrich our understanding in each of these different arenas. (shrink)