In this paper I argue that much of the confusion and mystery surrounding the concept of "self" can be traced to a failure to appreciate the distinction between the self as a collection of diverse neural components that provide us with our beliefs, memories, desires, personality, emotions, etc (the epistemological self) and the self that is best conceived as subjective, unified awareness, a point of view in the first person (ontological self). While the former can, and indeed has, been extensively (...) studied by researchers of various disciplines in the human sciences, the latter most often has been ignored -- treated more as a place holder attached to a particular predicate of interest (e.g., concept, reference, deception, esteem, image, regulation, etc). These two aspects of the self, I contend, are not reducible -- one being an object (the epistemological self) and the other a subject (the ontological self). Until we appreciate the difficulties of applying scientific methods and analysis to what cannot be reduced to an object of inquiry without stripping it of its essential aspect (its status as subject), progress on the "self", taken as a pluralistic construct, will continue to address only one part of the problems we face in understanding this most fundamental aspect of human experience. (shrink)

Arguably no concept is more fundamental to science than that of causality, for investigations into cases of existence, persistence, and change in the natural world are largely investigations into the causes of these phenomena. Yet the metaphysics and epistemology of causality remain unclear. For example, the ontological categories of the causal relata have been taken to be objects (Hume 1739), events (Davidson 1967), properties (Armstrong 1978), processes (Salmon 1984), variables (Hitchcock 1993), and facts (Mellor 1995). (For convenience, causes and effects (...) will usually be understood as events in what follows.) Complicating matters, causal relations may be singular (Socrates’s drinking hemlock caused Socrates’s death) or general (Drinking hemlock causes death); hence the relata might be tokens (e.g., instances of properties) or types (e.g., types of events) of the category in question. Other questions up for grabs are: Are singular causes metaphysically and/or epistemologically prior to general causes or vice versa (or neither)? What grounds the intuitive asymmetry of the causal relation? Are macro-causal relations reducible to micro-causal relations? And perhaps most importantly: Are causal facts (e.g., the holding of causal relations) reducible to non-causal facts (e.g., the holding of certain spatiotemporal relations)? (shrink)

The pragmatist tradition in philosophy has left a sound legacy in many contemporary research fields. John Dewey’s continuist and emergentist approach to the nature-or-nurture problem in relation to the individual human mind has been regained lately in evolutionist psychology and related disciplines. For Dewey, language plays a fundamental role in creating and maintaining this continuity between the individual mind and the social and physical environment humans inhabit. The present article will focus on a few contemporary lines of research that identify (...) language as the ‘glue’ that bonds each individual to one another and to society, with a decisive impact on the development of one’s own mind. (shrink)

In its forty years of existence, Artificial Intelligence has suffered both from the exaggerated claims of those who saw it as the definitive solution of an ancestral dream — that of constructing an intelligent machine-and from its detractors, who described it as the latest fad worthy of quacks. Yet AI is still alive, well and blossoming, and has left a legacy of tools and applications almost unequalled by any other field-probably because, as the heir of Renaissance thought, it represents a (...) possible bridge between the humanities and the natural sciences, philosophy and neurophysiology, psychology and integrated circuits-including systems that today are taken for granted, such as the computer interface with mouse pointer and windows. This writing describes a few results of AI that have modified the scientific world, as well as the way a layman sees computers: thetechnology of programming languages, such asLISP-witness the unique excellence of academic departments that have contributed to them-thecomputing workstations-of which our modern PC is but a vulgarised descendant-theapplications to the educational field-e.g., the realisation of some ideas of genetic epistemology-and tointerdisciplinary philosophy-such as Hofstadter's associations between the arts and mathematics-and the use ofAI techniques in music and musicology. All this has led to a generalisation of AI towards Negrotti's overallTheory of the Artificial, which encompasses further specialisation such asartificial reality, artificial life, and applications ofneural networks among others. (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)

This article examines how experimental psychology experienced a revolution as cognitive science replaced behaviorism in the mid-20th century. This transition in the scientific account of human nature involved making normal what had once been normative: borrowing ideas of democratic thinking from political culture and conceptions of good thinking from philosophy of science to describe humans as active, creatively thinking beings, rather than as organisms that simply respond to environmental conditions. Reflexive social and intellectual practices were central to this process as (...) cognitive scientists used anti-positivist philosophy of science simultaneously to justify their own work as valid and also as a model of human thinking. In the process, the normative philosophy of science or ‘good academic thinking’ that cognitive scientists used to reshape the discipline of psychology and characterize themselves became, at the same time, the descriptive model of human nature. (shrink)

We respond to Morris and Richardson 's claim that Pickering and Chater's arguments about the lack of a relation between cognitive science and folk psychology are flawed. We note that possible controversies about the appropriate uses for the two terms do not affect our arguments. We then address their claim that computational explanation of knowledge-rich processes has proved possible in the domains of problem solving, scientific discovery, and reasoning. We argue that, in all cases, computational explanation is only possible for (...) aspects of those processes that do not make reference to general knowledge. We conclude that consideration of the issues raised by Morris and Richardson reinforces our original claim that there are two fundamentally distinct projects for understanding the mind, one based on justification, and the other on computational explanation, and that these apply to non-overlapping aspects of mental life. (shrink)

It is often thought that consciousness has a qualitative dimension that cannot be tracked by science. Recently, however, some philosophers have argued that this worry stems not from an elusive feature of the mind, but from the special nature of the concepts used to describe conscious states. Marc Champagne draws on the neglected branch of philosophy of signs or semiotics to develop a new take on this strategy. The term “semiotics” was introduced by John Locke in the modern period – (...) its etymology is ancient Greek, and its theoretical underpinnings are medieval. Charles Sanders Peirce made major advances in semiotics, so he can act as a pipeline for these forgotten ideas. Most philosophers know Peirce as the founder of American pragmatism, but few know that he also coined the term “qualia,” which is meant to capture the intrinsic feel of an experience. Since pragmatic verification and qualia are now seen as conflicting commitments, Champagne endeavors to understand how Peirce could (or thought he could) have it both ways. The key, he suggests, is to understand how humans can insert distinctions between features that are always bound. Recent attempts to take qualities seriously have resulted in versions of panpsychism, but Champagne outlines a more plausible way to achieve this. So, while semiotics has until now been the least known branch of philosophy ending in –ics, his book shows how a better understanding of that branch can move one of the liveliest debates in philosophy forward. (shrink)

The Dalai Lama’s Secret Temple: Tantric Wall Paintings from Tibet. Ian A. Baker. Photographs by Thomas Laird. Thames and Hudson, London 2000. 216 pp, inc. 150 colour illus. £36.00. ISBN 0 500 510032.

The main focus of this paper ison ways in which Kantian philosophy can informproponents and opponents of constructivismalike. Kant was primarily concerned withreconciling natural and moral law. His approachto this general problematic was to limit andseparate what we can know about things(phenomena) from things as they are inthemselves (noumena), and to identify moralagency with the latter. Revisiting the Kantianproblematic helps to address and resolve longstanding epistemological concerns regardingconstructivism as an educational philosophy inrelation to issues of objectivity andsubjectivity, the limits of (...) theoretical andpractical reason, and the relation betweenhuman experience and the world. It also servesto address ethical concerns regardingliberation from limited self-interests andcontexts conditioned by localised beliefs andinclinations. In light of revisiting theKantian problematic, both Glasersfeld's radicalview of constructivism and Jardine's socialcritique of constructivism are found wanting.Beyond constructivism, Kant's distinctionbetween phenomena and noumena and the limits ofreason that follow from it are brieflyconsidered in terms of Merleau-Ponty's noveldouble-embodied notion of flesh as anontological primitive – as a matter of beingboth in, and of, the world – with an aim tomore intimate connections between epistemologyand ethics. (shrink)

This paper proposes a model ofratio decidendi as a justification structure consisting of a series of reasoning steps, some of which relate abstract predicates to other abstract predicates and some of which relate abstract predicates to specific facts. This model satisfies an important set of characteristics ofratio decidendi identified from the jurisprudential literature. In particular, the model shows how the theory under which a case is decided controls its precedential effect. By contrast, a purely exemplar-based model ofratio decidendi fails to (...) account for the dependency of precedential effect on the theory of decision. (shrink)

What is creativity? One new idea may be creative, whereas another is merely new: What's the difference? And how is creativity possible? These questions about human creativity can be answered, at least in outline, using computational concepts. There are two broad types of creativity, improbabilist and impossibilist. Improbabilist creativity involves novel combinations of familiar ideas. A deeper type involves METCS: the mapping, exploration, and transformation of conceptual spaces. It is impossibilist, in that ideas may be generated which – with respect (...) to the particular conceptual space concerned – could not have been generated before. The more clearly conceptual spaces can be defined, the better we can identify creative ideas. Defining conceptual spaces is done by musicologists, literary critics, and historians of art and science. Humanist studies, rich in intuitive subtleties, can be complemented by the comparative rigour of a computational approach. Computational modelling can help to define a space, and to show how it may be mapped, explored, and transformed. Impossibilist creativity can be thought of in “classical” Al terms, whereas connectionism illuminates improbabilist creativity. Most Al models of creativity can only explore spaces, not transform them, because they have no self-reflexive maps enabling them to change their own rules. A few, however, can do so. A scientific understanding of creativity does not destroy our wonder at it, nor does it make creative ideas predictable. Demystification does not imply dehumanization. (shrink)

After the setbacks suffered in the 1970s as a result of the ‘Lighthill Report’ (Lighthill, 1973), the science of Artificial Intelligence (AI) has undergone a dramatic revival of fortunes in the 1980s. But despite the obvious enormity and complexity of the problems tackled by AI, it still remains rather parochial in relation to the import of alternative though potentially fruitful ideas from other disciplines. With this in mind, the aim of the present paper is to utilise ideas from the sociology (...) of science in order to explore some current issues in AI and, in particular, the branch of expert systems.It is argued that the sociology of sciences shares a common focus of enquiry along with AI — namely, the nature of knowledge — and has a role to play in the understanding, design and future development of expert systems. (shrink)

After several technological revolutions in which technologies became ever more present in our daily lives, the digital technologies that are currently being developed are actually fading away from sight. Information and Communication Technologies are not only embedded in devices that we explicitly “use” but increasingly become an intrinsic part of the material environment in which we live. How to conceptualize the role of these new technological environments in human existence? And how to anticipate the ways in which these technologies will (...) mediate our everyday lives? In order to answer these questions, we draw on two approaches that each offers a framework to conceptualize these new technological environments: Postphenomenology and Material Engagement Theory. As we will show, each on their own, these approaches fail to do justice to the new environmental role of technology and its implications for human existence. But by bringing together Postphenomenology’s account of technological mediation and Material Engagement Theory’s account of engaging with environments, it becomes possible to sufficiently account for the new environmental workings of technology. To do justice to these new workings of environmental technologies, we introduce and develop the concept of “Technological Environmentality.”. (shrink)

As human beings we inevitably try to explain our experience. In philosophical language, we deal with transcendent assertions and aspirations. The issue, then, is: how can we talk about what matters, given the structures inherent in language and basic to the way we are made? Instead of the philosophical category of Being, I advance a case for giving the human brain privileged status as an analogical expression of God, the symbol‐concept of what matters most, and then suggest the illumination which (...) can come with using that analogical expression, especially as that analogy connects us with the environment at the limbic level and constructs our world at the cerebral level. (shrink)

. The human brain combines empathy and imagination via the old brain which sets our destiny in the evolutionary scheme of things. This new understanding of cognition is an emergent phenomenon—basically an expressive ordering of reality as part of “a single natural system.” The holographic and subsymbolic paradigms suggest that we live in a contextual universe, one which we create and yet one in which we are required to adapt. The inadequacy of the new brain—specially the left hemisphere's rational view (...) of destiny—is replaced by a view of a new relatedness in reality in which human destiny comes from and depends upon the mutual interchange between the new brain and the old brain for the survival of what is significant to the whole systemic context in which we live. (shrink)

Exploration and reflection on the interfacing of religion and the neurosciences in the last twenty‐five years provide a unique point of convergence on the relationship between science and religion. A focus on two streams of consciousness characterized the first phase in the 1970s. Scholarship suggested correlates between the styles of analytical steps and synthetic leaps of imagination and the belief patterns of proclamation and manifestation. The use of lateralized consciousness was critiqued as covering too much as well as not attending (...) to evolutionary developments and philosophical and theological foundations. A shift to whole brain functioning with more differentiated investigations came during the second phase in the 1980s. Empirical studies corroborated the earlier analytical speculations in neurotheology and advanced the heuristic value or using the whole brain as a metaphor for understanding religion. By the third phase of the 1990s, meaning‐making and integrating consciousness emerged as shaping the agenda between religion and cognitive neuroscience. The emerging methodology combines analogical continuities among levels of complexity and metaphorical leaps of inferential patterning. (shrink)

This paper sketches a historical account of interdisciplinarity. A central claim advanced is that the modern array of scientific and humanistic disciplines and interdisciplinarity emerged together; both are moving targets, which must therefore be studied historically in relation to one another as institutionalized practices. A second claim is that of a steadily increasing complexity; new fields emerged on the boundaries of existing disciplines beginning in the late nineteenth century, followed by multi- and transdisciplinary initiatives in the twentieth, and finally transdisciplinary (...) programmatic research in the late twentieth and early twenty-first centuries. The latter two phases in this development have been driven primarily by funding agencies seeking to move the sciences in particular directions deemed socially or politically desirable (in dictatorships as well as democracies), while the existing disciplines remained in place and new ones came into being. Such policy initiatives have transformed both disciplinarity and interdisciplinarity in unanticipated ways. The question whether multi- or transdisciplinary arrangements produce epistemically better science or scholarship appears not to have been raised, let alone examined, by the policy actors driving their creation. (shrink)

En el siguiente trabajo analizaremos la relación entre cognición y tecnología a través del concepto de “cognición distribuida” relacionado con las ciencias cognitivas. A través del mismo nos introduciremos en el problema de los límites entre mente y artefactos, si podemos decir que la mente extiende su naturaleza a través de la tecnología y la cultura, o si debemos hablar únicamente de cognición dentro de los límites del sistema nervioso.

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)

In this article I have two primary goals. First, I present two recent views on the distinction between knowledge-that and knowledge-how (Stanley and Williamson, The Journal of Philosophy 98(8):411–444, 2001; Hetherington, Epistemology futures, 2006). I contend that neither of these provides conclusive arguments against the distinction. Second, I discuss studies from neuroscience and experimental psychology that relate to this distinction. Having examined these studies, I then defend a third view that explains certain relevant data from these studies by positing the (...) double dissociation of knowledge-that and knowledge-how and that is also able to do explanatory work elsewhere. (shrink)

(2005). A Philosophical Critique of Classical Cognitivism in Sport: From Information Processing to Bodily Background Knowledge. Journal of the Philosophy of Sport: Vol. 32, No. 2, pp. 155-183.

Ve standardních výkladech moderních dějin studia mysli ve dvacátém století se dočteme, že zatímco kolem poloviny tohoto století ovládl studium mysli zpozdilý behaviorismus, v šedesátých letech nastoupila „kognitivní revoluce“, která nadvládu behaviorismu smetla a otevřela cestu ke skutečně nepředpojatému a adekvátnímu studiu mysli. V tomto textu se chci nad tímto standardním výkladem zamyslet a zpochybnit ho: konkrétně chci poukázat na to, že behaviorismus nebyl ve všech ohledech tak zpozdilý, jak by se z tohoto pohledu mohl jevit; a že „kognitivní revoluce“ (...) neznamenala jenom vymanění se z nepřiměřenýchmetodologických okovů, ale i otevření prostoru pro to, čemu budu říkat „magická teorie mysli“ a co podle mého názoru nepatří ani do vědy, ani do rozumné filosofie.Standard accounts of the modern history of the study of mind in the twentieth century tell us that while around the half of the century the study came to be dominated by inept behaviorism, the sixties witnessed the onslaught of the "cognitive revolution", which wiped out the dominance of behaviorism and opened the way for the truly unprejudiced and adequate study of mind. In this text I want to reconsider this account and challenge it: in particular, I want to point out that behaviorism was not in all respects so inept as it may suggest; and that the "cognitive revolution" did not mean merely breaking out of inadequate methodological fetters, but rather also an opening of space for what I will call the "magical theory of mind" and what I think belongs neither to science, nor to reasonable philosophy. (shrink)

La formación docente es indispensable para responder a los requerimientos de la compleja sociedad actual. De su conocimiento, iniciativa, praxis y creatividad depende el éxito o el fracaso del sujeto que aprende. Al modificar el rol del docente se transforma la actitud de los estudiantes. ¿Cómo entender la formación filosófica transdisciplinar? Este texto responde a este y otros cuestionamientos: ¿cuáles son los planteamientos pedagógicos afines a la era digital? ¿en qué medida las TIC se encuentran al servicio de una filosofía (...) educativa transdisciplinar?, ¿cómo se explica ese enfoque en la formación del docente?, ¿cuál es la función de la formación en la innovación educativa?, ¿cómo formar para la ciudadanía mundial?, ¿cuáles son las contribuciones de las nuevas ciencias para la formación educativa? El crecimiento exponencial de la ciencia y de la tecnología nos obliga a pensar en procesos formativos innovadores. En tal sentido, resulta imprescindible el estudio de estas problemáticas. (shrink)

Advancing our understanding of one of the most influential 20th-century philosophers, Robert Vinten brings together an international line up of scholars to consider the relevance of Ludwig Wittgenstein's ideas to the cognitive science of religion. Wittgenstein's claims ranged from the rejection of the idea that psychology is a 'young science' in comparison to physics to challenges to scientistic and intellectualist accounts of religion in the work of past anthropologists. Chapters explore whether these remarks about psychology and religion undermine the frameworks (...) and practices of cognitive scientists of religion. Employing philosophical tools as well as drawing on case studies, contributions not only illuminate psychological experiments, anthropological observations and neurophysical research relevant to understanding religious phenomena, they allow cognitive scientists to either heed or clarify their position in relation to Wittgenstein's objections. By developing and responding to his criticisms, Wittgenstein and the Cognitive Science of Religion offers novel perspectives on his philosophy in relation to religion, human nature, and the mind. Contents: Introduction (Robert Vinten); Ch.1: 'Wittgenstein, Concepts, and Human Nature' (Roger Trigg); Ch.2: 'On Truth, Language, and Objectivity' (Florian Franken Figueiredo); Ch.3 'Pascal Boyer's Miscellany of Homunculi: A Wittgensteinian Critique of Religion Explained' (Robert Vinten); Ch.4 'The Brain Perceives/Infers' (Hans van Eyghen); Ch.5 'The Imaginary Inner Inside Cognitive Science of Religion' (Christopher Hoyt); Ch.6 'Cognitive Theories and Wittgenstein: Looking for Convergence not for Divergence' (Olympia Panagiotidou); Ch. 7 'Wittgenstein, Naturalism, and Interpreting Religious Phenomena' (Thomas Carroll); Ch.8 'Natural Thoughts and Unnatural Oughts: Lessing, Wittgenstein, and Contemporary CSR' (Guy Axtell); Ch.9 'Normative Cognition in Cognitive Science of Religion' (Mark Addis); Ch.10 'Brains as the Source of Being: Mind/Brain Focus and the Western Model of Mind in Dominant Cognitive Science Discourse' (Rita McNamara); Ch.11 'On Religious Practices as Multiscale Active Inference: Certainties Emerging From Recurrent Interactions Within and Across Individuals and Groups' (Inês Hipólito and Casper Hesp). (shrink)

Clark and Chalmers propose that the mind extends further than skin and skull. If they are right, then we should expect this to have some effect on our way of knowing our own mental states. If the content of my notebook can be part of my belief system, then looking at the notebook seems to be a way to get to know my own beliefs. However, it is at least not obvious whether self-ascribing a belief by looking at my notebook (...) is a case of introspection the same way that knowing my non-extended beliefs is. Traditionally this sort of introspection is thought to be privileged and special in ways that the extended introspection case seems not to be. There is nothing privileged about looking at my notebook. Anyone could do it. The aim of the paper is to find out how to understand extended introspection and whether there is something privileged and special about knowing one’s own extended beliefs. Moreover, the notebook case has close analogs using twenty-first century technology. It seems possible to know our beliefs that are extended to smartphones, wearable technology or a cloud-based data store. First, I present the case of extended introspection. I then discuss whether it should be understood as ordinary introspection or as mind-reading. Both seem to be bad fits, which finally prompts an original account for extended introspection based on epistemic rules. (shrink)

This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico-engineering framework for the philosophical theory of materialism.

What is the role of the environment, and of the information it provides, in cognition? More specifically, may there be a role for certain artefacts to play in this context? These are questions that motivate "4E" theories of cognition (as being embodied, embedded, extended, enactive). In his take on that family of views, Hajo Greif first defends and refines a concept of information as primarily natural, environmentally embedded in character, which had been eclipsed by information-processing views of cognition. He continues (...) with an inquiry into the cognitive bearing of some artefacts that are sometimes referred to as 'intelligent environments'. Without necessarily having much to do with Artificial Intelligence, such artefacts may ultimately modify our informational environments. -/- With respect to human cognition, the most notable effect of digital computers is not that they might be able, or become able, to think but that they alter the way we perceive, think and act. (shrink)

The information age can be dated to the work of Norbert Wiener and Claude Shannon in the 1940s. Their work on cybernetics and information theory, and many subsequent developments, had a profound influence on reshaping the field of psychology from what it was prior to the 1950s. Contemporaneously, advances also occurred in experimental design and inferential statistical testing stemming from the work of Ronald Fisher, Jerzy Neyman, and Egon Pearson. These interdisciplinary advances from outside of psychology provided the conceptual and (...) methodological tools for what is often called the cognitive revolution but is more accurately described as the information-processing revolution. Cybernetics set the stage with the idea that everything ranging from neurophysiological mechanisms to societal activities can be modeled as structured control systems with feedforward and feedback loops. Information theory offered a way to quantify entropy and information, and promoted theorizing in terms of information flow. Statistical theory provided means for making scientific inferences from the results of controlled experiments and for conceptualizing human decision making. With those three pillars, a cognitive psychology adapted to the information age evolved. The growth of technology in the information age has resulted in human lives being increasingly interweaved with the cyber environment, making cognitive psychology an essential part of interdisciplinary research on such interweaving. Continued engagement in interdisciplinary research at the forefront of technology development provides a chance for psychologists not only to refine their theories but also to play a major role in the advent of a new age of science. (shrink)

Commercial applications of knowledge-based systems are changing from an embryonic to a growth business. Knowledge is classified by levels and types to differentiate various knowledge-based systems. Applications are categorized by size, generic types, and degree of intelligence to establish a framework for discussion of progress and implications. A few significant commercial applications are identified and perspectives and implications of these and other systems are discussed. Perspectives relate to development paths, delivery modes, types of integration, and resource requirements. Discussion includes organizational (...) opportunities and impacts, business perspectives, workplace issues, public effects, and educational needs. Common traps and modes of failures are mentioned.Major conclusions point to the great value of knowledge-based systems when development is pursued correctly, and to the existence of insufficient understanding of resource requirements, needs for integration, different talents, and incorporation into operational strategy to equitably exploit the significant economic and social costs associated with their creation and use. (shrink)