Malgré l'obscurité qui entoure encore l'étymologie du couple νόος-νοεῖν, il est possible, au niveau sémantique, d'établir une signification première non seulement en lien avec l’expérience directe, mais plus précisément dans le sens du νόος-organe/fonction de l'élaboration de « schémas d'action ». L'activité du νόος serait donc la création d' « images » qui n'auraient pas une valeur seulement « représentationnelle » mais, avant tout, « pragmatique-conative », capables d' « anticiper », sans pourtant être le fruit d'une réflexion élaborée, la (...) « forme » de l'action à accomplir par le sujet et le pousser à cet accomplissement. L'article se propose de développer cette conjecture, replaçant le νόος dans les spécificités de la culture orale homérique, au moyen de la confrontation avec : 1) les deux hypothèses étymologiques prédominantes, qui partagent l’idée d’un lien étroit entre l’activité du νόος et le registre de la vision : l'hypothèse *snu, radical indoeuropéen, qui vaut pour « flairer » une chose ou une situation (von Fritz, Heidegger, Gadamer et al.) et l'hypothèse *nes, autre radical qui sert à indiquer « le retour de la lumière » ou « l’évitement de la mort » (Frame et al.) ; 2) les positions de Kérenyi, Snell et Lesher sur le νόος, qui appuient leur réflexion critique sur le texte homérique, considéré source principale pour la détermination du sens du νόος-νοεῖν ; 3) le domaine des sciences cognitives et notamment la notion d' « action-oriented representation » développée par Andy Clark et l'hypothèse du νόος comme « le mouvement de retour de la conscience à elle-même », développée par Stefanelli avec l'utilisation des travaux de Damasio. Cette confrontation permettra de corroborer l'hypothèse initiale du νόος comme « schéma d'action » et de clarifier son caractère d’activité « productive » et de « construction » de la réalité. (shrink)

Mettre le noos en relation avec les idées de « panaristos » et de « méga nèpios » permet d’étudier les spécificités du concept noétique chez Hésiode lequel est le plus souvent amalgamé, dans les recherches sur l’évolution historique du noos/noein, à Homère. La présente étude propose d’articuler davantage le noos/noein dans les objectifs poétiques propres aux Travaux et Jours d’où émerge une vision particulière de l’activité psychique de l’individu grec archaïque, depuis le sot ignorant (Persès et les mauvais rois) (...) jusqu’au poète sachant (Hésiode lui-même). Il convient également de montrer comment Hésiode établit une nouvelle hiérarchie des créatures sur la base du noos qui devient consubstantiel à la dikè. Ensemble, ces deux paramètres sont insérés dans un discours à la fois poétique et politique où s’illustre entre autre le mythe des races. Le noos sert tout particulièrement l’autorité poétique d’Hésiode contre celle des rois et révèle une vision à part de l’intelligence. (shrink)

Le présent numéro réunit les contributions de spécialistes internationaux de la question du νόος-νοεῖν avec pour optique de reconstruire une histoire des termes liés à l’intelligence et ses activités dans la Grèce antique. Il s’agit de tracer, sans prétendre à l’exhaustivité, les grandes lignes de l'évolution de ces termes, en s’attachant à en approfondir certaines étapes les plus significatives. Naturellement, chaque article a aussi, ou avant tout, une valeur en tant que tel et peut être lu...

For well over two decades, Andy Clark has been gleaning theoretical lessons from the leading edge of cognitive science, applying a combination of empirical savvy and philosophical instinct that few can match. Clark’s most recent book, Supersizing the Mind: Embodiment, Action, and Cognitive Extension, brilliantly expands his oeuvre. It offers a well-informed and focused survey of research in the burgeoning field of situated cognition, a field that emphasizes the contribution of environmental and non-neural bodily structures to the production of intelligent (...) behavior. The situated research program, fledgling though it may be in some respects, has reached an age at which its philosophical stock can reasonably be taken; and Clark is just the person to take it. Supersizing the Mind consists of three main divisions. The first develops the case for the distinctively extended view of cognition, according to which the human mind or cognitive system literally comprises elements beyond the boundary of the human organism. The second responds to critics of the extended outlook: Frederick Adams, Kenneth Aizawa, Keith Butler, Brie Gertler, Rick Grush, and me, among others. The third major division evaluates nonextended strands in the situated program, in particular, those that emphasize the role of the non-neural body in cognition. (shrink)

For well over two decades, Andy Clark has been gleaning theoretical lessons from the leading edge of cognitive science, applying a combination of empirical savvy and philosophical instinct that few can match. Clark’s most recent book, Supersizing the Mind: Embodiment, Action, and Cognitive Extension, brilliantly expands his oeuvre. It offers a well-informed and focused survey of research in the burgeoning field of situated cognition, a field that emphasizes the contribution of environmental and non-neural bodily structures to the production of intelligent (...) behavior. The situated research program, fledgling though it may be in some respects, has reached an age at which its philosophical stock can reasonably be taken; and Clark is just the person to take it. Supersizing the Mind consists of three main divisions. The first develops the case for the distinctively extended view of cognition, according to which the human mind or cognitive system literally comprises elements beyond the boundary of the human organism. The second responds to critics of the extended outlook: Frederick Adams, Kenneth Aizawa, Keith Butler, Brie Gertler, Rick Grush, and me, among others. The third major division evaluates nonextended strands in the situated program, in particular, those that emphasize the role of the non-neural body in cognition. (shrink)

Il est assez commun de se représenter le bûcheron comme un être plutôt fruste, qualifié avant tout par sa force au service d’une tâche peu valorisée. Or cette représentation se révèle tronquée, car l’équation qui associe la force à l’outil ne peut se réaliser sans le contrôle du geste. Plus encore, l’écoute des témoignages recueillis auprès des forestiers nous apprend que ce travail réclame d’efficaces systèmes de précision. C’est là une qualification oubliée, pourtant reconnue à part entière dès l’Iliade, qui (...) nous en donne deux témoins privilégiés par l’anthropologie historique de la Grèce, la mètis, l’« intelligence rusée », prêtée au kybérnêtês, le pilote du navire, au conducteur de char et, en bonne première place, au bûcheron. La théorie du contrôle nous permet maintenant de dépasser le flou conceptuel de la notion historiquement pré-théorique de mètis, la ruse s’appliquant à des cas bien trop divers, pour lui préférer les développements les plus récents d’une science du contrôle de l’action, théorisée depuis Wiener, nourrissant aujourd’hui les projets les mieux financés de cyber-cerveaux informatiques, au service des neurosciences et de la médecine. Le travail forestier, qui réclame une coordination maîtrisée des gestes, y compris de leurs commandes vocales dans le chant de travail — qu’un seul ou plusieurs bûcherons en équipe soient mobilisés —, nous en fournit une parfaite illustration. The woodcutter is commonly represented as a fairly boorish person, reduced to brute force and low-level tasks. But this representation is partial because a simplistic inferential link between an axe and strength obliterates that nothing can happen without any modus operandi, i.e. a set of neural controls over gestures. Indeed, listening to woodcutter’s testimonies led us to elicit that this work needs efficient precision systems. This high level of qualification was acknowledged at least since Homer’s Iliad as evidenced by two favourite telltales from historical anthropology of Ancient Greece: mètis ascribed to kybérnêtês, the ship’s pilot as to the chariot-driver and in the first rank to the woodcutter. Control theory allows now to avoid the fuzziness of meaning of the pre-theoretical notion of mètis to focus on a domain steadily developed since Wiener, now part of costly cyber-brain projects in informatics, for neuroscience and medicine. Forest work, which requires skilled gesture coordination, with vocal commands in a worksong—for one or more woodcutters being engaged in the task—is such a telling case. (shrink)

Art perception offers action affordances for the self-generated movement of the eyes, the mind, and the emotions; thus some scenes are ’easy to look at', and evoke different kinds of moods depending on what kind of affordances they present for the eyes, the brain, and the action schemas that further the dynamical self-organizing patterns of activity toward which the organism tends, as reflected in its ongoing emotional life. Art can do this only because perception is active rather than passive, and (...) begins with efferent activity in emotional brain areas (e.g. hypothalamus, amygdala, hippocampus and anterior cingulate) which then motivates afferent processing (parietal imaging activity which finally, after a 1/3-second motivational/selective process is complete, resonates with occipital patterns, resulting in perceptual consciousness). The limbic system ’categories’ that motivate the ’looking-for’ of selective attention are categories of utility, to be understood in terms of emotional affordances and whole-organism affective meanings. Art plays with this looking-for, using it to make us engage in different afforded actions that relate to different limbic (emotional) categories. The drawings of children and of the artistically untutored reveal this structure when we fail to ’draw what we see’, drawing instead what we conceptualize that we ought to be seeing. Art teaches us to get beyond this almost complete dominance of habitual categories, and to see things more freshly -- both in the perceptual and in the emotive sphere. Rather than reinforcing our preconceptions, it forces us to see how they affect our view of reality. -/- Because neither perceptions nor emotional responses are really passive ’responses’ at all, art does not cause us to feel a certain way. Instead, we ’use’ art for the purpose of symbolizing our emotions. Our most important feelings are not directly ’about’ the perceptual objects that trigger them. The object in conscious attention during the feeling of an emotion is normally not the intentional object of the emotion, i.e., it is not the object in relation to which our actions could serve the purpose of the emotion. Emotions are not even triggered by simple ’stimuli’, but rather by the meaning for us of a stimulus in a total context determined by ongoing and dynamical organismic purposes. Emotions arise from the total life process, which is a dynamical system -- not as an isolated chemical event or a causal result of a simple stimulus. For this reason, emotions call not just for satiation or pleasure, but for explication; this is why art is different from entertainment or pretty decoration. Visual art affords not only a meaningful, self-directed dance of the eyes, but also a meaningful dance of this emotional explicating process. (shrink)

This article reconstructs the theory of the Soviet-American psychologist Vladimir Lefebvre as part of the neocybernetic movement. In particular, I propose to explore such elements of his research of the 1970s—1990s as systemic vision; reflexive analysis; a search for holistic configuration and Janus cosmology; and the realization of neocybernetics. An interest in the reflexive structures of cognition and action led Lefebvre to an understanding of the limited nature of the world’s scientific picture. The conflicting objects he studied proved too complex (...) for behavioral modeling and forecasting. Lefebvre therefore expanded the boundaries of the application of his formal theory of intelligence, relying on functionalist positions, which led him to the science-fiction narrative of “The Big Correction.” I contend that Lefebvre’s works not only propose an original Soviet version of the neocybernetics the 1970s but develop their own model of inhumanism long before it appeared on the scene of modern philosophy. Lefebvre’s formal theory, reinforced by thermodynamics and elements of Russian cosmism, builds cognitive behavior into the teleology of the Big Correction, which involves the idea of overcoming the heat death of the universe. The activity of cosmic intelligence, which Lefebvre equates with magnetic-plasma structures in the finished areas of the universe, is aimed at cooperation and prolonging the existence of life and the intellect. (shrink)

De nombreuses études ont été consacrées au vocabulaire psychologique et aux fonctions intellectuelles dans la littérature grecque et singulièrement au théâtre notamment depuis les travaux de Br. Snell jusqu’aux ouvrages de S. D. Sullivan. L’article ici proposé est à la fois modeste et précis : il analyse comment le théâtre tragique est un corpus privilégié pour saisir la manière dont l’intelligence peut se présenter de manière traditionnelle avec un sens concret lié à l’agir, mais également s’enrichir en s’écartant de ces (...) emplois, ou même apparaître plus abstraitement comme une réflexion sur le sens de l’action humaine, dans un drame où celle-ci est à la fois mise en scène et mise en question. L’étude ne porte pas seulement sur la distinction entre des sens traditionnels et des significations novatrices, mais sur les contextes dramatiques dans lesquelles ces notions sont employées, car ceux-ci peuvent contribuer à renouveler l’emploi d’un sens apparemment traditionnel (ainsi des contextes à valeur politique plus marquée chez Sophocle ou Euripide). De même, l’examen ne se limite pas à nous et noein : il prend en compte, d’une part les créations lexicales propres à un auteur pour mesurer leur éventuelle importance sur l’évolution de la notion (Eschyle), et d’autre part certains dérivés et composés — pour autant qu’ils font intervenir la notion d’intelligence — comme ἐννοεῖν, ἔννους, πρόνοια, ou comme l’antonyme ἄνοια : ces mots, verbes, noms ou adjectifs, permettent en effet de sérier des emplois liés à l’action pratique, mais où la notion d’intelligence revêt une portée essentielle, et qui sont parfois proches de ceux présents chez les historiens contemporains comme Hérodote ou Thucydide. L’analyse montre comment le théâtre tragique, dans sa forme dialogique elle-même, présente des situations conflictuelles où est questionné le sens même du nous selon les points de vue divers des personnages, ainsi que les réflexions des personnages ou du chœur sur ces conflits, en mettant en scène des prises de décision qui se traduisent ou non en actions. Le corpus tragique est ainsi un corpus important pour l’étude de l’évolution de la notion d’intelligence en Grèce antique avant Platon. (shrink)

In Supersizing the Mind: Embodiment, Action, and Cognitive Extension (Clark, 2008), Andy Clark bolsters his case for the extended mind thesis and casts a critical eye on some related views for which he has less enthusiasm. To these ends, the book canvasses a wide range of empirical results concerning the subtle manner in which the human organism and its environment interact in the production of intelligent behavior. This fascinating research notwithstanding, Supersizing does little to assuage my skepticism about the hypotheses (...) of extended cognition and extended mind. In particular, Supersizing fails to make the case for the extended view as a revolutionary thesis in the theoretical foundations of cognitive science. (shrink)

Humans routinely make inferences about both the contents and the workings of other minds based on observed actions. People consider what others want or know, but also how intelligent, rational, or attentive they might be. Here, we introduce a new methodology for quantitatively studying the mechanisms people use to attribute intelligence to others based on their behavior. We focus on two key judgments previously proposed in the literature: judgments based on observed outcomes (you're smart if you won the game) and (...) judgments based on evaluating the quality of an agent's planning that led to their outcomes (you're smart if you made the right choice, even if you didn't succeed). We present a novel task, the maze search task (MST), in which participants rate the intelligence of agents searching a maze for a hidden goal. We model outcome‐based attributions based on the observed utility of the agent upon achieving a goal, with higher utilities indicating higher intelligence, and model planning‐based attributions by measuring the proximity of the observed actions to an ideal planner, such that agents who produce closer approximations of optimal plans are seen as more intelligent. We examine human attributions of intelligence in three experiments that use MST and find that participants used both outcome and planning as indicators of intelligence. However, observing the outcome was not necessary, and participants still made planning‐based attributions of intelligence when the outcome was not observed. We also found that the weights individuals placed on plans and on outcome correlated with an individual's ability to engage in cognitive reflection. Our results suggest that people attribute intelligence based on plans given sufficient context and cognitive resources and rely on the outcome when computational resources or context are limited. (shrink)

This paper aims to provide a theoretical framework for explaining the subjective character of pain experience in terms of what we will call ‘embodied predictive processing’. The predictive processing (PP) theory is a family of views that take perception, action, emotion and cognition to all work together in the service of prediction error minimisation. In this paper we propose an embodied perspective on the PP theory we call the ‘embodied predictive processing (EPP) theory. The EPP theory proposes to explain pain (...) in terms of processes distributed across the whole body. The prediction error minimising system that generates pain experience comprises the immune system, the endocrine system, and the autonomic system in continuous causal interaction with pathways spread across the whole neural axis. We will argue that these systems function in a coordinated and coherent manner as a single complex adaptive system to maintain homeostasis. This system, which we refer to as the neural-endocrine-immune (NEI) system, maintains homeostasis through the process of prediction error minimisation. We go on to propose a view of the NEI ensemble as a multiscale nesting of Markov blankets that integrates the smallest scale of the cell to the largest scale of the embodied person in pain. We set out to show how the EPP theory can make sense of how pain experience could be neurobiologically constituted. We take it to be a constraint on the adequacy of a scientific explanation of subjectivity of pain experience that it makes it intelligible how pain can simultaneously be a local sensing of the body, and, at the same time, a more global, all-encompassing attitude towards the environment. Our aim in what follows is to show how the EPP theory can meet this constraint. (shrink)

The background target of the research going into the present article is to forge an intellectual alliance between, on the one hand, active inference and the free-energy principle (FEP), and on the other, Charles S. Peirce’s theory of semiotics and pragmatism. In the present paper, the focus is on the allegiance between the nomenclatures of active and abductive inferences as the proper place to begin reaching at that wider target. The paper outlines the key conceptual elements involved in a naturalistic (...) rendering of Peirce’s late semiotic and logical notion of abductive reasoning. The target is a cognitive-biological model of abduction which preserves the functional integrity of an organism and fulfils the existential imperative for living beings’ evidence of existence. Such a model is an adaptation of Peirce’s late logical schema of abduction proposed in his largely unpublished works during the early 20th century. The proposed model is argued to be a feasible sketch also of recent breakthroughs in computational (sensu Bayesian) cognitive science. (shrink)

Cet article examine le rôle joué par la notion d'intelligence dans la poésie de Xénophane et de Parménide. L'auteur soutient que ces deux philosophes, en modifiant les attributs traditionnels du noos humain et divin, répondent aux problèmes posés par le pessimisme gnoséologique de la tradition poétique archaïque, dans laquelle les mortels sont inéluctablement condamnés à l'ignorance. Comme le montre le cas d'Hésiode, même l'inspiration divine ne garantit pas d'acquérir la connaissance, parce que la divinité peut communiquer, à son gré, le (...) vrai ou le faux et que le poète est dépourvu de moyens pour établir la validité de la révélation. Chez Xénophane en revanche, la régularité de l'ordre naturel fondé sur l'immuable noos du dieu offre aux hommes la possibilité effective d'améliorer leur compréhension du monde, tandis que dans le poème de Parménide, la déduction des attributs de l'Être donne aux mortels l'accès à cette vérité qui était auparavant une prérogative exclusive des dieux. (shrink)

Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. Decision Making: J. Frank Yates (...) and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)

The title of Andy Clark's book is, among other things, a reference to one of the central terms in Martin Heidegger's early work: "Dasein" (being there) is the word that Heidegger uses to refer to beings like ourselves. Clark is no Heidegger scholar, but the reference is deliberate; among the predecessors to his book he lists not only Heidegger himself, but also the American Heidegger scholar Hubert Dreyfus and the French Heideggerean phenomenologist Maurice Merleau-Ponty. This triumvirate has played an increasingly (...) important role in recent years among the "alternative" cognitive science set, owing largely to the influence of Dreyfus's 1979 book What Computers Can't Do (Cambridge, Mass.: MIT Press, 1979), which enlisted Heideggerian and Merleau-Pontean arguments in the fight against classical symbolic processing approaches to artificial intelligence. Clark's book fits squarely in this "alternative" tradition, and it is an important contribution to the existing literature. It surveys a large array of results in cognitive scientifically oriented fields ranging from robotics to developmental psychology, and it argues convincingly that these results should encourage us to embrace a radical new research paradigm in the cognitive sciences. The central claim is that mainstream cognitive scientists should, like their more revolutionary colleagues, learn to substitute for "the disembodied, atemporal intellectualist vision of mind ... the image of mind as a controller of embodied action" (p. 7). As a clear and brightly written account of this alternative movement in cognitive science, and perhaps even as a kind of mission statement for the new paradigm, Clark's book is one of the finest I have read. It is limited, however, by the fact that the interesting and well-described empirical work that forms the center of his presentation does not always provide sufficient resources for addressing the equally important philosophical problems lurking. (shrink)

While the notion of the mind as information-processor--a kind of computational system--is widely accepted, many scientists and philosophers have assumed that this account of cognition shows that the mind's operations are characterizable independent of their relationship to the external world. Existential Cognition challenges the internalist view of mind, arguing that intelligence, thought, and action cannot be understood in isolation, but only in interaction with the outside world. Arguing that the mind is essentially embedded in the external world, Ron McClamrock provides (...) a schema that allows cognitive scientists to address such long-standing problems in artificial intelligence as the "frame" problem and the issue of "bounded" rationality. Extending this schema to cover progress in other studies of behavior, including language, vision, and action, McClamrock reinterprets the importance of the organism/environment distinction. McClamrock also considers the broader philosophical question of the place of mind in the world, particularly with regard to questions of intentionality, subjectivity, and phenomenology. With implications for philosophy, cognitive and computer science, AI, and psychology, this book synthesizes state-of-the-art work in philosophy and cognitive science on how the mind interacts with the world to produce thoughts, ideas, and actions. (shrink)

Why games? How could anyone consider action games an experimental paradigm for Cognitive Science? In 1973, as one of three strategies he proposed for advancing Cognitive Science, Allen Newell exhorted us to “accept a single complex task and do all of it.” More specifically, he told us that rather than taking an “experimental psychology as usual approach,” we should “focus on a series of experimental and theoretical studies around a single complex task” so as to demonstrate that our theories of (...) human cognition were powerful enough to explain “a genuine slab of human behavior” with the studies fitting into a detailed theoretical picture. Action games represent the type of experimental paradigm that Newell was advocating and the current state of programming expertise and laboratory equipment, along with the emergence of Big Data and naturally occurring datasets, provide the technologies and data needed to realize his vision. Action games enable us to escape from our field's regrettable focus on novice performance to develop theories that account for the full range of expertise through a twin focus on expertise sampling and longitudinal studies of simple and complex tasks. (shrink)

La science cognitive moderne ne peut être comprise sans les progrès récents en informatique, intelligence artificielle, robotique, neuroscience, biologie, linguistique et psychologie. La philosophie analytique classique et l’intelligence artificielle traditionnelle présumaient que toutes les sortes de savoir devaient être représentées explicitement par des langages formels ou programmatiques. Cette thèse est en contradiction avec les découvertes récentes en biologie de l’évolution et en psychologie évolutive de l’organisme humain. La majeure partie de notre savoir est implicite et inconsciente. Elle n’est pas représentée (...) formellement, mais constitue un savoir incarné, qui s’acquiert par l’action et se comprend en interaction corporelle avec nos niches écologiques et nos environnements sociaux. Cela n’est pas seulement vrai pour nos aptitudes élémentaires, mais aussi pour nos facultés supérieures de catégorisation, de langage et de pensée abstraite. Science cognitive incarnée, l’intelligence artificielle, ainsi que la robotique, tentent de construire un intellect incarné en évolution artificielle. Du point de vue philosophique, il est admirable de voir à quel point les nouvelles idées d’intellect incarné et de robotique sont ancrées dans la philosophie du XXe siècle. (shrink)

Artificial Intelligence (AI) is a core area of Cognitive Science, yet today few AI researchers attend the Cognitive Science Society meetings. This essay examines why, how AI has changed over the last 30 years, and some emerging areas of potential interest where AI and the Society can go together in the next 30 years, if they choose.

Computational modeling of sketch understanding is interesting both scientifically and for creating systems that interact with people more naturally. Scientifically, understanding sketches requires modeling aspects of visual processing, spatial representations, and conceptual knowledge in an integrated way. Software that can understand sketches is starting to be used in classrooms, and it could have a potentially revolutionary impact as the models and technologies become more advanced. This paper looks at one such effort, Sketch Worksheets, which have been used in multiple classroom (...) experiments already, with students ranging from elementary school to college. Sketch Worksheets are a software equivalent of pencil and paper worksheets commonly found in classrooms, but they provide on-the-spot feedback based on what students draw. They are built on the CogSketch platform, which provides qualitative visual and spatial representations and analogical processing based on computational models of human cognition. This paper explores three issues. First, we examine how research from cognitive science and artificial intelligence, combined with the constraints of creating new kinds of educational software, led to the representations and processing in CogSketch. Second, we examine how these capabilities have been used in Sketch Worksheets, drawing upon experiments with fifth-grade students in biology and college students in engineering design and in geoscience. Finally, we examine some open issues in sketch understanding that need to be addressed to better model high-level aspects of vision, and for sketch understanding systems to reach their full potential for supporting education. (shrink)

A tension exists between those who do—e.g. Meyer (The British Journal for the Philosophy of Science 71:959–985, 2020 ) and Chemero ( 2011 )—and those who do not—e.g. Kaplan and Craver (Philosophy of Science 78:601–627, 2011 ) Piccinini and Craver (Synthese 183:283–311, 2011 )—afford nonmechanistic explanations a role in cognitive science. Here, I argue that one’s perspective on this matter will cohere with one’s interpretation of the tasks of cognitive science; that is, of the actions for which cognitive scientists are (...) specially fitted. To make this point concrete, I consider two tasks of cognitive science—establishing causal claims and unifying—and show how these tasks are interpreted differently by mechanists and nonmechanists respectively. I then argue that, as a result of these different interpretations, we cannot expect to resolve the tension between mechanists and nonmechanists by appeal to cognitive scientific practice. I conclude that we should give up on the debate between mechanists and nonmechanists, and search for progress elsewhere. (shrink)

Social and personality psychology have been criticized for overreliance on potentially biased self-report variables. In well-being science, researchers have called for more “objective” physiological and cognitive measures to evaluate the efficacy of well-being-increasing interventions. This may now be possible with the recent rise of cost-effective, commercially-available wireless physiological recording devices and smartphone-based cognitive testing. We sought to determine whether cognitive and physiological measures, coupled with machine learning methods, could quantify the effects of positive interventions. The current 2-part study used a (...) college sample (N = 245) to contrast the cognitive (memory, attention, construal) and physiological (autonomic, electroencephalogram) effects of engaging in one of two randomly assigned writing activities (i.e., prosocial or “antisocial”). In the prosocial condition, participants described an interaction when they acted in a kind way, then described an interaction when they received kindness. In the “antisocial” condition, participants wrote instead about an interaction when they acted in an unkind way and received unkindness, respectively. Our study replicated previous research on the beneficial effects of recalling prosocial experiences as assessed by self-report. However, we did not detect an effect of the positive or negative activity intervention on either cognitive or physiological measures. More research is needed to investigate under what conditions cognitive and physiological measures may be applicable, but our findings lead us to conclude that they should not be unilaterally favored over the traditional self-report approach. (shrink)

L'auteur distingue, dans les.travaux sur l'intelligence artifi- cielle, deux approches : l'approche technologique et l'approche cognitiviste. Il montre que les rapprochements faits, dans l'approche cognitiviste, entre l'intelligence humaine et l'intelligence artificielle, ne vont pas de soi, et que les thèses sur l'intelligence artificielle sont largement tributaires de certaines spéculations rationalistes et empi- ristes de la philosophie classique. Il expose la principale difficulté que rencontre alors une compréhension de l'intelligence humaine à partir de l'approche cognitiviste, à savoir la nécessité d'oblitérer la (...) dimension sémantique et de professer un solipsisme radical, et il plaide en faveur d'une compréhension de l'intelligence humaine selon ce qu'elle est dans la culture plutôt que dans les machines.In the literature on artificial intelligence, the author distinguishes two approaches : the technological approach and the cognitivist approach. He shows that the parallels made between human intelligence and artificial intelligence within the cognitivist approach do not go without saying, and that the theses on artificial intelligence are largely dependent upon certain rationalist and empiricist speculations of classical philosophy. He exposes the principal problem that then encounters an understanding of human intelligence in the light of the cognitivist approach, namely the necessity to obliterate the semantic dimension and to profess a radical solipsism, and he pleads for an understanding of human intelligence commensurable with what it is in culture rather than in machines. (shrink)

This paper discusses the role of cultural anthropology in Cognitive Science. Culture is described as a very large pool of information passed along from generation to generation, composed of learned “programs” for action and understanding. These cultural programs differ in important ways from computer programs. Cultural programs tend to be unspecified and inexplicit rather than clearly stated algorithms learned through a slow process of guided discovery, and involve the manipulation of content based rather than formal symbol systems. Cultural symbol systems (...) often have affective as well as objective referents, giving them a strong directive effect. The argument is made that in the process of repeated social transmission and use, cultural programs come to take forms which have a good “fit” to the natural capacities and constraints of the human information processing system. (shrink)

The target article “Thinking Through Other Minds” (TTOM) offered an account of the distinctively human capacity to acquire cultural knowledge, norms, and practices. To this end, we leveraged recent ideas from theoretical neurobiology to understand the human mind in social and cultural contexts. Our aim was bothsynthetic– building an integrative model adequate to account for key features of cultural learning and adaptation; andprescriptive– showing how the tools developed to explain brain dynamics can be applied to the emergence of social and (...) cultural ecologies of mind. In this reply to commentators, we address key issues, including: (1) refining the concept of culture to show how TTOM and the free-energy principle (FEP) can capture essential elements of human adaptation and functioning; (2) addressing cognition as an embodied, enactive, affective process involving cultural affordances; (3) clarifying the significance of the FEP formalism related to entropy minimization, Bayesian inference, Markov blankets, and enactivist views; (4) developing empirical tests and applications of the TTOM model; (5) incorporating cultural diversity and context at the level of intra-cultural variation, individual differences, and the transition to digital niches; and (6) considering some implications for psychiatry. The commentators’ critiques and suggestions point to useful refinements and applications of the model. In ongoing collaborations, we are exploring how to augment the theory with affective valence, take into account individual differences and historicity, and apply the model to specific domains including epistemic bias. (shrink)

We explored the influence of negation on cognitive dynamics, measured using mouse‐movement trajectories, to test the classic notion that negation acts as an operator on linguistic processing. In three experiments, participants verified the truth or falsity of simple statements, and we tracked the computer‐mouse trajectories of their responses. Sentences expressing these facts sometimes contained a negation. Such negated statements could be true (e.g., “elephants are not small”) or false (e.g., “elephants are not large”). In the first experiment, as predicted by (...) the classic notion of negation, we found that negation caused more discreteness in the mouse trajectory of a response. The second experiment induced a simple context for these statements, yet negation still increased discreteness in trajectories. A third experiment enhanced the pragmatic context of sentences, and the discreteness was substantially diminished, with one primary measure no longer significantly showing increased discreteness at all. Traditional linguistic theories predict rapid shifts in cognitive dynamics occur due to the nature of negation: It is an operator that reverses the truth or falsity of an interpretation. We argue that these results support both propositional and contextual accounts of negation present in the literature, suggesting that contextual factors are crucial for determining the kind of cognitive dynamics displayed. We conclude by drawing broader lessons about theories of cognition from the case of negation. (shrink)

Cognitive science has converged in many ways with cognitive psychology, but while also maintaining a distinctive interdisciplinary nature. Here we further characterize this existing state of the field before proposing how it might be reconceptualized toward a broader and more distinct, and thus more stable, position in the realm of sciences.

The COVID-19 pandemic and its related policies (e.g., stay at home and social distancing orders) have increased people’s use of digital technology, such as social media. Researchers have, in turn, utilized artificial intelligence to analyze social media data for public health surveillance. For example, through machine learning and natural language processing, they have monitored social media data to examine public knowledge and behavior. This paper explores the ethical considerations of using artificial intelligence to monitor social media to understand the public’s (...) perspectives and behaviors surrounding COVID-19, including potential risks and benefits of an AI-driven approach. Importantly, investigators and ethics committees have a role in ensuring that researchers adhere to ethical principles of respect for persons, beneficence, and justice in a way that moves science forward while ensuring public safety and confidence in the process. (shrink)

This paper discusses the role of cultural anthropology in Cognitive Science. Culture is described as a very large pool of information passed along from generation to generation, composed of learned “programs” for action and understanding. These cultural programs differ in important ways from computer programs. Cultural programs tend to be unspecified and inexplicit rather than clearly stated algorithms learned through a slow process of guided discovery, and involve the manipulation of content based rather than formal symbol systems. Cultural symbol systems (...) often have affective as well as objective referents, giving them a strong directive effect. The argument is made that in the process of repeated social transmission and use, cultural programs come to take forms which have a good “fit” to the natural capacities and constraints of the human information processing system. (shrink)

In an attempt to discover the facial action units for affective states that occur during complex learning, this study adopted an emote-aloud procedure in which participants were recorded as they verbalised their affective states while interacting with an intelligent tutoring system (AutoTutor). Participants’ facial expressions were coded by two expert raters using Ekman's Facial Action Coding System and analysed using association rule mining techniques. The two expert raters received an overall kappa that ranged between.76 and.84. The association rule mining analysis (...) uncovered facial actions associated with confusion, frustration, and boredom. We discuss these rules and the prospects of enhancing AutoTutor with non-intrusive affect-sensitive capabilities. (shrink)

Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? -/- The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and our ability to reason from what has been learned. This (...) book is the first to offer a self-contained presentation of neural network models for a number of computer science logics, including modal, temporal, and epistemic logics. By using a graphical presentation, it explains neural networks through a sound neural-symbolic integration methodology, and it focuses on the benefits of integrating effective robust learning with expressive reasoning capabilities. -/- The book will be invaluable reading for academic researchers, graduate students, and senior undergraduates in computer science, artificial intelligence, machine learning, cognitive science and engineering. It will also be of interest to computational logicians, and professional specialists on applications of cognitive, hybrid and artificial intelligence systems. (shrink)

Information is a force multiplier. Knowledge of the enemy's capability and intentions may be of far more value to a military force than additional troops or firepower. Situation assessment is the ongoing process of inferring relevant information about the forces of concern in a military situation. Relevant information can include force types, firepower, location, and past, present and future course of action. Situation assessment involves the incorporation of uncertain evidence from diverse sources. These include photographs, radar scans, and other forms (...) of image intelligence, or IMINT; electronics intelligence, or ELINT, derived from characteristics (e.g., wavelength) of emissions generated by enemy equipment; communications intelligence, or COMINT, derived from the characteristics of messages sent by the enemy; and reports from human informants (HUMINT). These sources must be combined to form a model of the situation. The sheer volume of data, the ubiquity of uncertainty, the number and complexity of hypotheses to consider, the high-stakes environment, the compressed time frame, and deception and damage from hostile forces, combine to present a staggeringly complex problem. Even if one could formulate a decision problem in reasonable time, explicit determination of an optimal decision policy exceeds any reasonable computational resources. While it is tempting to drop any attempt at rational analysis and rely purely on simple heuristics, we argue that this can lead to catastrophic outcomes. We present an architecture for a ``complex decision machine'' that performs rational deliberation to make decisions in real time. We argue that resource limits require such an architecture to be grounded in simple heuristic reactive processes. We thus argue that both simple heuristics and complex decision machines are required for effective decision making in real time for complex problems. We describe an implementation of our architecture applied to the problem of military situation assessment. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Movements of the Mind. A Theory of Attention, Intention and Action by Wayne WuDiego D’AngeloWU, Wayne. Movements of the Mind. A Theory of Attention, Intention and Action. Oxford: Oxford University Press, 2023. 257 pp. Cloth, $80.00Wayne Wu presented a theory of attention as selection-for-action in 2014. According to this theory, given a behavioral space in which the agent has multiple inputs and outputs to choose from, attention involves (...) the selection of a particular course of action, that is, of certain outputs based on certain inputs. In the present work Wu puts to use the selection-for-action theory to shed light on the broader topic of the “movements of the mind”: intentionality and action. Action and movement are mostly not intended as bodily movement: By focusing on mental actions Wu aims to simplify philosophical explanations. His overall theoretical approach remains consistent with his work on attention, which involves a quest to develop rigorous philosophical concepts while incorporating insights from the empirical sciences. Interestingly, biology takes precedence over cognitive sciences and psychology for him; he says, “I aspire to a biology of agency” in which philosophical analysis must respond to “empirical friction.” In this framework, this book puts forth four main claims. The first concerns the general structure of action—action arises from solving a selection problem. Second, intentional actions can be differentiated from unintentional actions using the concepts of automaticity and control. Third, Wu argues that attention is a necessary aspect of every theory of action. Fourth, he claims that intention is practical memory for action. These four are woven throughout the different chapters of his book.The first part analyzes the structure of action along three axes: how the agent “takes things to be” as the basis for selection, the agent’s response to those things, and the biases that explain the link between perceptions and responses. In the second part, Wu presents a theory of intention as practical memory. The theory is surprising, as Wu himself acknowledges when he says, “The approach to intention will, I think, jar many readers.” And indeed, it does, but Wu provides strong arguments, and future work will determine if the theory is feasible. The third part of the book explores the implications of his theory of action for specific forms and aspects of action; the first chapter in this section deals with automaticity and biases, [End Page 734] the second deals with deductive reasoning, and the third deals with introspection.According to Wu’s theory, action involves a complex combination of elements. The agent is faced with many inputs and potential outputs within a behavioral space. She takes inputs in a certain way: The way she sees things is influenced by myriad aspects, such as intentions and biases of various forms. Action and intending to act are solutions to the problem of selecting appropriate inputs and outputs. Wu thematizes the role of attention in this process of selection. Attention comes in three different forms. It can be an action itself (“attending,” for example, in searching for something); it can mean “vigilance” as readiness to act; and most importantly, attention is “mental guidance.” Every action is guided by attention insofar as a selection problem must be solved: Attention is guiding when perceptual input “plays a functional role of guiding.” Attention also shapes the agent’s actions through remembering, and remembering in turn is nothing else then attending to remembered content. This attended content provides the agent with biases and reasons to select a particular course of action. Therefore, intending to act is nothing else than practical memory, that is, memory put to work in the choice of actions.One particular type of action that is crucially important for philosophical research is introspection. According to Wu, introspection, like every kind of mental action, is not entirely reliable—as some theories would have it—or entirely unreliable but, instead, depends on context. Like any other action, introspection follows the same guiding principle, attention, specifically, perceptual attention. Therefore, introspection is a particular type of perceptual experience where attention is focused on one’s own mental states. In this way, Wu establishes criteria for veridical introspective reports, such... (shrink)

Both cognitive science and phenomenology accept the primacy of the organism-environment system and recognize that cognition should be understood in terms of an embodied agent situated in its environment. How embodiment is seen to shape our world, however, is fundamentally different in these two disciplines. Embodiment, as understood in cognitive science, reduces to a discussion of the consequences of having a body like ours interacting with our environment and the relationship is one of contingent causality. Embodiment, as understood phenomenologically, represents (...) the condition of intelligibility of certain terms in our experience and, as such, refers to one aspect of that background which presupposes our understanding of the world. The goals and approach to modeling an embodied agent in its environment are also fundamentally different dependent on which relationship is addressed. These differences are highlighted and are used to support our phenomenologically based approach to organism-environment interaction and its relationship to brain function. (shrink)

Cognitive science has much to contribute to the general scientific body of knowledge, but it is also a field rife with possibilities for providing background research that can be leveraged by artificial intelligence (AI) developers. In this introduction, we briefly explore the history of AI. We particularly focus on the relationship between AI and cognitive science and introduce this special issue that promotes the method of inspiring AI development with the results of cognitive science research.

Edward Slingerland has been working on notions of spontaneity in classical Chinese thought and modern science for many years. In his newest title, Trying Not to Try: The Art and Science of Spontaneity, he approaches this topic by weaving short anecdotes, recent discoveries in cognitive science, and classic Chinese philosophy into an eloquent tapestry that depicts both the everydayness and paradoxical nature of spontaneous action. The text does not read like many other contemporary academic books: it uses colloquial language and (...) does not directly address contemporary philosophical debates. But this does not compromise its ability to stimulate the intellect, or deliver solid philosophical arguments. Slingerland does... (shrink)

This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.

The papers in the following volume are the outcome of a three-year long interdisciplinary research project. The project began with an in-person meeting hosted and funded by the Daimler und Benz Stiftung in Germany in March 2020 (the world was shutting down one nation at a time as we met). During the pandemic we continued to meet monthly online with support from Memorial University of Newfoundland. From the beginning it was the goal of the Working Group on Intelligence (WGI), as (...) we called ourselves, to broaden and deepen the AI debate with a more nuanced understanding of intelligence than is common in cognitive and computer science discussions of AI. We wished to draw on the history of philosophy, ecology, and the philosophy of mind to establish that intelligence is meant in many senses, to use an Aristotelian expression. The clarification of these various meanings is essential to the discussion around the ethics of AI, especially the question concerning the possibility of strong AI or Artificial General Intelligence. (shrink)

Thinking About Thinking: Mind and Meaning in the Era of Techno-Nihilism addresses our existential crisis by reminding us of the conditions for meaning that have been obscured by the modern technological mentality. Madden weaves together disparate insights from Wittgenstein, Hegel, Aristotle, Heidegger, Merleau-Ponty, Nietzsche, Sophocles, and others in an attempt to account for our mindedness in terms of its inextricable connection to a world capable of inspiring our care. The mind is not a discrete entity locked behind the skull or (...) withdrawn into a ghostly realm, but a participation in an inheritance (biological and cultural) held in common with other participants, and taking responsibility for that world is crucial for the meaning. The ever-increasing technological mediation of our lives undermines this worldliness. We are subsequently "losing our minds," and as our mindedness fades, so goes our sense of dignity and value. Madden makes this case deploying insights from phenomenology, analytic philosophy, Aristotelianism, neuroscience, and cognitive science, and along the way confronts the mind-body problem, freedom, artificial intelligence, transhumanism, and nihilism. More importantly, he invites the reader into an accessible dialogue concerning issues of grave importance to the meaning of our lives. (shrink)

Established wisdom in cognitive science holds that the everyday folk psychological abilities of humans -- our capacity to understand intentional actions performed for reasons -- are inherited from our evolutionary forebears. In _Folk Psychological Narratives_, Daniel Hutto challenges this view and argues for the sociocultural basis of this familiar ability. He makes a detailed case for the idea that the way we make sense of intentional actions essentially involves the construction of narratives about particular persons. Moreover he argues that children (...) acquire this practical skill only by being exposed to and engaging in a distinctive kind of narrative practice. Hutto calls this developmental proposal the narrative practice hypothesis. Its core claim is that direct encounters with stories about persons who act for reasons supply children with both the basic structure of folk psychology and the norm-governed possibilities for wielding it in practice. In making a strong case for the as yet underexamined idea that our understanding of reasons may be socioculturally grounded, Hutto not only advances and explicates the claims of the NPH, but he also challenges certain widely held assumptions. In this way, _Folk Psychological Narratives_ both clears conceptual space around the dominant approaches for an alternative and offers a groundbreaking proposal. (shrink)

We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense of others. It seeks to provide concrete steps for data scientists seeking to learn (...) how feminism can help them work towards justice, and for feminists seeking to learn how their own work can carry over to the growing field of data science. It is addressed to professionals in all fields where data-driven decisions are being made, as well as to communities that want to better understand the data that surrounds them. It is written for everyone who seeks to better understand the charts and statistics that they encounter in their day-to-day lives, and for everyone who seeks to better communicate the significance of such charts and statistics to others. This is an example-driven book written with a broad audience of scholars, students, and practitioners in mind. It offers a way of thinking about data, both their uses and their limits, that is informed by direct experience, by a commitment to action, and by the ideas associated with intersectional feminist thought. (shrink)

There is disagreement in the literature about the exact nature of the phenomenon of empathy. There are emotional, cognitive, and conditioning views, applying in varying degrees across species. An adequate description of the ultimate and proximate mechanism can integrate these views. Proximately, the perception of an object's state activates the subject's corresponding representations, which in turn activate somatic and autonomic responses. This mechanism supports basic behaviors that are crucial for the reproductive success of animals living in groups. The Perception-Action Model, (...) together with an understanding of how representations change with experience, can explain the major empirical effects in the literature. It can also predict a variety of empathy disorders. The interaction between the PAM and prefrontal functioning can also explain different levels of empathy across species and age groups. This view can advance our evolutionary understanding of empathy beyond inclusive fitness and reciprocal altruism and can explain different levels of empathy across individuals, species, stages of development, and situations. Key Words: altruism; cognitive empathy ; comparative; emotion; emotional contagion; empathy ; evolution; human; perception-action; perspective taking. (shrink)

Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These mechanisms (...) include nested feedback interactions, global effects of neuromodulation, vertical integration, action-monitoring, and synaptic plasticity, and they are modeled in terms of both functional integration and temporal synchronization. I end by elaborating the psychological model of emotion–appraisal states with reference to neural processes. (shrink)

My topic is the intelligent guidance of action. In this paper I offer an empirically grounded case for four ideas: that [a] cognitive processes of practical reasoning play a key role in the intelligent guidance of action, [b] these processes could not do so without significant enabling work done by both perception and the motor system, [c] the work done by perceptual and motor systems can be characterized as the generation of information specialized for action guidance, which in turn suggests (...) that [d] the cognitive processes of practical reasoning that play a key role in the guidance of intelligent action are not the abstract, syllogistic ones philosophers often treat as the paradigm of practical reasoning. Rather, these cognitive processes are constrained by, and work well with, the specialized concepts outputted by perception and the feedback outputted by sensorimotor processes. (shrink)

This paper considers where contemporary neuroscience leaves us in terms of how human consciousness fits into the material world, and whether consciousness is reducible to merely mechanical physical systems, or on the contrary whether consciousness is a self-organizing system that can in a sense use the brain for its own purposes. The paper discusses how phenomenology can be integrated with new findings about “neural plasticity” to yield new approaches to the mind–body problem and the place of consciousness as a causal (...) player in the physical world. By phenomenology, I mean simply any attempt to have introspective or reflective access to the meaning of our own conscious states, and to carefully take account of the notorious pitfalls of subjective introspection (often subsumed within the concept of “folk psychology” in the empirically oriented cognitive theory literature). (shrink)

Free Energy Principle underlies a unifying framework that integrates theories of origins of life, cognition, and action. Recently, FEP has been developed into a Markovian monist perspective. The paper expresses scepticism about the validity of arguments for Markovian monism. The critique is based on the assumption that Markovian models are scientific models, and while we may defend ontological theories about the nature of scientific models, we could not read off metaphysical theses about the nature of target systems from our theories (...) of nature of scientific models. The paper draws attention to different ways of understanding Markovian models, as material entities, fictional entities, and mathematical structures. I argue that none of these interpretations contributes to the defence of a metaphysical stance. This is because scientific representation is a sophisticated process, and properties of Markovian models—such as the property of being neither physical nor mental—could not be projected onto their targets to determine the ontological properties of targets easily. (shrink)

Cognitive science is experiencing a pragmatic turn away from the traditional representation-centered framework toward a view that focuses on understanding cognition as "enactive." This enactive view holds that cognition does not produce models of the world but rather subserves action as it is grounded in sensorimotor skills. In this volume, experts from cognitive science, neuroscience, psychology, robotics, and philosophy of mind assess the foundations and implications of a novel action-oriented view of cognition. Their contributions and supporting experimental evidence show that (...) an enactive approach to cognitive science enables strong conceptual advances, and the chapters explore key concepts for this new model of cognition. The contributors discuss the implications of an enactive approach for cognitive development; action-oriented models of cognitive processing; action-oriented understandings of consciousness and experience; and the accompanying paradigm shifts in the fields of philosophy, brain science, robotics, and psychology. ContributorsMoshe Bar, Lawrence W. Barsalov, Olaf Blanke, Jeannette Bohg, Martin V. Butz, Peter F. Dominey, Andreas K. Engel, Judith M. Ford, Karl J. Friston, Chris D. Frith, Shaun Gallagher, Antonia Hamilton, Tobias Heed, Cecilia Heyes, Elisabeth Hill, Matej Hoffmann, Jakob Hohwy, Bernhard Hommel, Atsushi Iriki, Pierre Jacob, Henrik Jörntell, Jürgen Jost, James Kilner, Günther Knoblich, Peter König, Danica Kragic, Miriam Kyselo, Alexander Maye, Marek McGann, Richard Menary, Thomas Metzinger, Ezequiel Morsella, Saskia Nagel, Kevin J. O'Regan, Pierre-Yves Oudeyer, Giovanni Pezzulo, Tony J. Prescott, Wolfgang Prinz, Friedemann Pulvermüller, Robert Rupert, Marti Sanchez-Fibla, Andrew Schwartz, Anil K. Seth, Vicky Southgate, Antonella Tramacere, John K. Tsotsos, Paul F. M. J. Verschure, Gabriella Vigliocco, Gottfried Vosgerau. (shrink)