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  1. Machine intelligence: a chimera.Mihai Nadin - 2019 - AI and Society 34 (2):215-242.
    The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that conceived (...)
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  • The powers of machines and minds.Chris Mortensen - 1990 - Behavioral and Brain Sciences 13 (4):678-679.
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  • Nonverbal knowledge as algorithms.Chris Mortensen - 1987 - Behavioral and Brain Sciences 10 (3):487-488.
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  • Three myths of computer science.James H. Moor - 1978 - British Journal for the Philosophy of Science 29 (3):213-222.
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  • Criteria of cognitive impenetrability.Robert C. Moore - 1980 - Behavioral and Brain Sciences 3 (1):146-147.
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  • Language as a cognitive tool.Marco Mirolli & Domenico Parisi - 2009 - Minds and Machines 19 (4):517-528.
    The standard view of classical cognitive science stated that cognition consists in the manipulation of language-like structures according to formal rules. Since cognition is ‘linguistic’ in itself, according to this view language is just a complex communication system and does not influence cognitive processes in any substantial way. This view has been criticized from several perspectives and a new framework (Embodied Cognition) has emerged that considers cognitive processes as non-symbolic and heavily dependent on the dynamical interactions between the cognitive system (...)
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  • Ambient Intelligence, Criminal Liability and Democracy.Mireille Hildebrandt - 2008 - Criminal Law and Philosophy 2 (2):163-180.
    In this contribution we will explore some of the implications of the vision of Ambient Intelligence (AmI) for law and legal philosophy. AmI creates an environment that monitors and anticipates human behaviour with the aim of customised adaptation of the environment to a person’s inferred preferences. Such an environment depends on distributed human and non-human intelligence that raises a host of unsettling questions around causality, subjectivity, agency and (criminal) liability. After discussing the vision of AmI we will present relevant research (...)
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  • Has Artificial Intelligence Contributed to an Understanding of the Human Mind?: A Critique of Arguments For and Against.Laurence Miller - 1978 - Cognitive Science 2 (2):101-127.
    This essay examines arguments for and against the proposition that Artificial Intelligence (AI) research makes an important contribution to the understanding of the human mind. A number of recent articles have seemed to question the value of Al ideas in specific domains (e.g., language. mental imagery, problem solving). In the present paper, it is argued that the real disagreement concerns the form of a scientific psychology. The critics of Artificial Intelligence believe that many acceptable psychological theories exist and the important (...)
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  • Cognitive penetrability: let us not forget about memory.James R. Miller - 1980 - Behavioral and Brain Sciences 3 (1):146-146.
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  • Computation, consciousness and cognition.George A. Miller - 1980 - Behavioral and Brain Sciences 3 (1):146-146.
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  • Computation and consciousness.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):676-678.
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  • Holism without tears: Local and global effects in cognitive processing.Ron McClamrock - 1989 - Philosophy of Science 56 (June):258-74.
    The suggestion that cognition is holistic has become a prominent criticism of optimism about the prospects for cognitive science. This paper argues that the standard motivation for this holism, that of epistemological holism, does not justify this pessimism. An illustration is given of how the effects of epistemological holism on perception are compatible with the view that perceptual processes are highly modular. A suggestion for generalizing this idea to conceptual cognitive processing is made, and an account of the holists' failure (...)
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  • Ethical concerns in computer-assisted instruction,.Marvin J. Croy - 1985 - Metaphilosophy 16 (4):338-349.
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  • Gödel redux.Alexis Manaster-Ramer, Walter J. Savitch & Wlodek Zadrozny - 1990 - Behavioral and Brain Sciences 13 (4):675-676.
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  • The mundane mental language: How to do words with things.J. Christopher Maloney - 1984 - Synthese 59 (June):251-294.
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  • Uncertainty about quantum mechanics.Mark S. Madsen - 1990 - Behavioral and Brain Sciences 13 (4):674-675.
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  • Transcending Turing computability.B. J. Maclennan - 2003 - Minds and Machines 13 (1):3-22.
    It has been argued that neural networks and other forms of analog computation may transcend the limits of Turing-machine computation; proofs have been offered on both sides, subject to differing assumptions. In this article I argue that the important comparisons between the two models of computation are not so much mathematical as epistemological. The Turing-machine model makes assumptions about information representation and processing that are badly matched to the realities of natural computation (information representation and processing in or inspired by (...)
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  • The new AI spring: a deflationary view.Jocelyn Maclure - 2020 - AI and Society 35 (3):747-750.
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  • The discomforts of dualism.Bruce MacLennan - 1990 - Behavioral and Brain Sciences 13 (4):673-674.
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  • Instructed actions in, of and as molecular biology.Michael Lynch & Kathleen Jordan - 1995 - Human Studies 18 (2-3):227 - 244.
    A recurrent theme in ethnomethodological research is that of instructed actions. Contrary to the classic traditions in the social and cognitive sciences, which attribute logical priority or causal primacy to instructions, rules, and structures of action, ethnomethodologists investigate the situated production of actions which enable such formulations to stand as adequate accounts. Consequently, a recitation of formal structures can not count as an adequate sociological description, when no account is given of the local production ofwhat those structures describe. The natural (...)
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  • Quantum AI.Rudi Lutz - 1990 - Behavioral and Brain Sciences 13 (4):672-673.
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  • Ist Simulation Erklärung? Cognitive Science — wissenschaftstheoretisch betrachtet.Gisela Loeck - 1986 - Zeitschrift Für Allgemeine Wissenschaftstheorie 17 (1):14-39.
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  • Ist simulation erklärung? Cognitive science — wissenschaftstheoretisch betrachtet.Gisela Loeck - 1986 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 17 (1):14-39.
    This paper is about - cognitive science's claim to obtain an empirically theory of human intelligence by experiments with intelligent machines; - the question, whether simulation yields/is explanation , i.e. whether the theory explaining the behaviour of a thing A, appropriately abstracted, as well explains the behaviour of a thing B, different in type from A, when A's and B's behaviours are indistinguishable; - the question, whether the Aristotelian ontic distinction between the natural and the artificial was in fact extinguished (...)
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  • The Promises of Complexity Sciences: A Critique.Fabrizio Li Vigni - 2023 - Perspectives on Science 31 (4):465-502.
    Complexity sciences have become famous worldwide thanks to several popular books that served as echo chambers of their promises. These consisted in departing from “classical science” defined as deterministic, reductionist, analytic and mono-disciplinary. Their founders and supporters declared that complexity sciences were going to give rise (or that they have given rise) to a post-Laplacian, antireductionist, holistic and interdisciplinary approach. By taking a closer look at their content and practices, I argue in this article that, because of their physics-oriented, computationalist, (...)
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  • Time-delays in conscious processes.Benjamin Libet - 1990 - Behavioral and Brain Sciences 13 (4):672-672.
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  • Embodied movement consciousness.Arturo Leyva - 2022 - Phenomenology and the Cognitive Sciences 21 (1):161-180.
    In two recent papers, I introduced the idea of embodied Rilkean movement knowledge and perception into the current philosophical debate on sports knowledge. In this paper, I offer a new analysis of how embodied movement knowledge and perception help us to identify and define movement consciousness. I develop a phenomenological account of embodied movement consciousness and show how it is closely linked to self-consciousness by generating anticipations and affordances that implicate pre-reflective self-awareness. I also expand Rowlands’ Rilkean memory notion to (...)
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  • Embodied Rilkean sport-specific knowledge.Arturo Leyva - 2018 - Journal of the Philosophy of Sport 45 (2):128-143.
    This paper develops and introduces the embodied Rilkean sport-specific knowledge into the current sports knowledge philosophical debate. This idea is based on my interpretation of Mark Rowlands’ Rilkean memory theory. Broadly speaking, Rowlands proposed that an embodied Rilkean memory is memory content that is then ‘woven into the body and its neural infrastructure’ resulting in new bodily or behavioral dispositions. I propose that elite-level sports knowledge may become contentless bodily and/or behavioral dispositions and take the form of embodied Rilkean sport-specific (...)
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  • A Phenomenological and Physiological Approach to Embodied Rilkean Sport-Specific Perception.Arturo Leyva - 2018 - Sport, Ethics and Philosophy 14 (1):62-75.
    In a recent paper, I developed and introduced embodied Rilkean sport-specific knowledge into the current sports knowledge philosophical debate. The existence of embodied Rilkean sport-specific know...
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  • Is chaos the only alternative to rigidity?Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (2):180-180.
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  • Connectionism and motivation are compatible.Daniel S. Levine - 1987 - Behavioral and Brain Sciences 10 (3):487-487.
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  • Generality and applications.Jill H. Larkin - 1987 - Behavioral and Brain Sciences 10 (3):486-487.
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  • Functional architecture and free will.Henry E. Kyburg - 1980 - Behavioral and Brain Sciences 3 (1):143-146.
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  • Software agents and their bodies.Nicholas Kushmerick - 1997 - Minds and Machines 7 (2):227-247.
    Within artificial intelligence and the philosophy of mind,there is considerable disagreement over the relationship between anagent's body and its capacity for intelligent behavior. Some treatthe body as peripheral and tangential to intelligence; others arguethat embodiment and intelligence are inextricably linked. Softwareagents–-computer programs that interact with software environmentssuch as the Internet–-provide an ideal context in which to studythis tension. I develop a computational framework for analyzingembodiment. The framework generalizes the notion of a body beyondmerely having a physical presence. My analysis sheds (...)
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  • Thinking may be more than computing.Peter Kugel - 1986 - Cognition 22 (2):137-198.
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  • High-level Enactive and Embodied Cognition in Expert Sport Performance.Kevin Krein & Jesús Ilundáin-Agurruza - 2017 - Sport, Ethics and Philosophy 11 (3):370-384.
    Mental representation has long been central to standard accounts of action and cognition generally, and in the context of sport. We argue for an enactive and embodied account that rejects the idea that representation is necessary for cognition, and posit instead that cognition arises, or is enacted, in certain types of interactions between organisms and their environment. More specifically, we argue that enactive theories explain some kinds of high-level cognition, those that underlie some of the best performances in sport and (...)
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  • Underestimating the importance of the implementational level.Michael Van Kleeck - 1987 - Behavioral and Brain Sciences 10 (3):497-498.
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  • Phenomenological Vs. Behavioral Objectives for Training Skilled Performance.Gary A. Klein - 1978 - Journal of Phenomenological Psychology 9 (1):139-156.
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  • Dispositional Implementation Solves the Superfluous Structure Problem.Colin Klein - 2008 - Synthese 165 (1):141 - 153.
    Consciousness supervenes on activity; computation supervenes on structure. Because of this, some argue, conscious states cannot supervene on computational ones. If true, this would present serious difficulties for computationalist analyses of consciousness (or, indeed, of any domain with properties that supervene on actual activity). I argue that the computationalist can avoid the Superfluous Structure Problem (SSP) by moving to a dispositional theory of implementation. On a dispositional theory, the activity of computation depends entirely on changes in the intrinsic properties of (...)
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  • The elusive visual processing mode: Implications of the architecture/algorithm distinction.Roberta L. Klatzky - 1980 - Behavioral and Brain Sciences 3 (1):142-143.
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  • Robot as the “mechanical other”: transcending karmic dilemma.Min-Sun Kim - 2019 - AI and Society 34 (2):321-330.
    As the artificial intelligence of computers grows ever-more sophisticated and continues to surpass the capacities of human minds in many ways, people are forced to question alleged ontological categories that separate humans from machines. As we are entering the world which is populated by non-enhanced and enhanced humans, cyborgs, robots, androids, avatars, and clones among them, the desire for evolutionary mastery of the natural world has taken on the two main directions: merging with machines in disembodied forms or embodied forms. (...)
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  • Parallelism and patterns of thought.R. W. Kentridge - 1990 - Behavioral and Brain Sciences 13 (4):670-671.
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  • Reductionism and cognitive flexibility.Frank Keil - 1980 - Behavioral and Brain Sciences 3 (1):141-142.
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  • Philosophical and Socio‐Cognitive Foundations for Teaching in Higher Education through Collaborative Approaches to Student Learning.Adrian Jones - 2011 - Educational Philosophy and Theory 43 (9):997-1011.
    This paper considers the implications for higher education of recent work on narrative theory, distributed cognition and artificial intelligence. These perspectives are contrasted with the educational implications of Heidegger's ontological phenomenology [being‐there and being‐aware (Da‐sein)] and with the classic and classical foundations of education which Heidegger and Gadamer once criticised. The aim is to prompt discussion of what teaching might become if psychological insights (about collective minds let loose to learn) are associated with every realm of higher education (not just (...)
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  • A long time ago in a computing lab far, far away….Jeffery L. Johnson, R. H. Ettinger & Timothy L. Hubbard - 1990 - Behavioral and Brain Sciences 13 (4):670-670.
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  • The borders of cognition.Earl Hunt - 1980 - Behavioral and Brain Sciences 3 (1):140-141.
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  • The reification of the mind-body problem?Stewart H. Hulse - 1980 - Behavioral and Brain Sciences 3 (1):139-140.
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  • Towards a theory of cognition under a new control paradigm.C. A. Hooker, H. B. Penfold & R. J. Evans - 1992 - Topoi 11 (1):71-88.
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  • An Ethical Inquiry of the Effect of Cockpit Automation on the Responsibilities of Airline Pilots: Dissonance or Meaningful Control?W. David Holford - 2020 - Journal of Business Ethics 176 (1):141-157.
    Airline pilots are attributed ultimate responsibility and final authority over their aircraft to ensure the safety and well-being of all its occupants. Yet, with the advent of automation technologies, a dissonance has emerged in that pilots have lost their actual decision-making authority as well as their ability to act in an adequate fashion towards meeting their responsibilities when unexpected circumstances or emergencies occur. Across the literature in human factor studies, we show how automated algorithmic technologies have wrestled control away from (...)
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  • Merleau-Ponty and the Measuring Body.Aud Sissel Hoel & Annamaria Carusi - 2018 - Theory, Culture and Society 35 (1):45-70.
    In recent years a growing number of scholars in science studies and related fields are developing new ontologies to displace entrenched dualisms. These efforts often go together with a renewed interest in the roles played by symbolisms and tools in knowledge and being. This article brings Maurice Merleau-Ponty into these conversations, positioning him as a precursor of today’s innovative recastings of technoscience. While Merleau-Ponty is often invoked in relation to his early work on the body and embodiment, this article focuses (...)
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  • Selecting for the con in consciousness.Deborah Hodgkin & Alasdair I. Houston - 1990 - Behavioral and Brain Sciences 13 (4):668-669.
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