Results for ' machine perception'

998 found
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  1.  21
    Making the (Business) Case for Clinical Ethics Support in the UK.L. L. Machin & Mark Wilkinson - 2020 - HEC Forum 33 (4):371-391.
    This paper provides a series of reflections on making the case to senior leaders for the introduction of clinical ethics support services within a UK hospital Trust at a time when clinical ethics committees are dwindling in the UK. The paper provides key considerations for those building a case for clinical ethics support within hospitals by drawing upon published academic literature, and key reports from governmental and professional bodies. We also include extracts from documents relating to, and annual reports of, (...)
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  2.  74
    Machine perception.Margaret A. Boden - 1969 - Philosophical Quarterly 19 (January):33-45.
  3. Machine perception: What makes it so hard for computers to see.Walter Reitman, Robert Nado & Bruce Wilcox - 1978 - In W. Savage (ed.), Perception and Cognition. University of Minnesota Press. pp. 65--87.
  4. Machine Perception in Philosophy and Technology II. Information Technology and Computers in Theory and Practice.Pa Heelan - 1986 - Boston Studies in the Philosophy of Science 90:131-156.
  5. Leibniz's Walk-in Machine, Perception, and the Perils of Physicalism.Keith Gunderson - 1989 - In M. Maxwell & C. Wade Savage (eds.), Science, Mind, and Psychology: Essays in Honor of Grover Maxwell. University Press of America. pp. 157.
  6. Can You Hear Me Now? Sensitive Comparisons of Human and Machine Perception.Michael A. Lepori & Chaz Firestone - 2022 - Cognitive Science 46 (10):e13191.
    Cognitive Science, Volume 46, Issue 10, October 2022.
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  7.  26
    An ontological approach to focusing attention and enhancing machine perception on the Web.Cory Henson, Krishnaprasad Thirunarayan & Amit Sheth - 2011 - Applied ontology 6 (4):345-376.
  8.  2
    When Machines See Things ; Some Prerequisite Conditions for Perception by Intelligent Machines That Will Surrogate Us. 고인석 - 2020 - Journal of the New Korean Philosophical Association 100:19-41.
    서비스 로봇이나 자율주행자동차처럼 현실의 공간에서 작동하는 기계가 임무를 성공적으로 수행하기 위하여 갖추어야 할 조건은 그것이 처한 환경의 상태를 파악하는 능력, 곧 지각의 능력이다. 이 논문은 이런 기계 지각, 특히 인간을 대행하도록 의도된 기계의 지각이 충족해야 할 조건들을 검토한다. 이러한 시도는 오늘의 사회가 집단적으로 추진하고 있는 공학 프로젝트에서 기술의 지향점을 환기시키면서 그것을 향한 실천을 구체화하는 논의라는 의미를 지닌다. 공학윤리의 원칙에 명시된 최우선의 가치를 고려할 때, 인간을 대행할 인공물은 우리가 아는 범위에서 가장 안전한 방식으로 구성되어야 하고, 이를 위하여 기계 시각을 비롯한 인공물의 (...)
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  9.  71
    Artificial virtue: the machine question and perceptions of moral character in artificial moral agents.Patrick Gamez, Daniel B. Shank, Carson Arnold & Mallory North - 2020 - AI and Society 35 (4):795-809.
    Virtue ethics seems to be a promising moral theory for understanding and interpreting the development and behavior of artificial moral agents. Virtuous artificial agents would blur traditional distinctions between different sorts of moral machines and could make a claim to membership in the moral community. Accordingly, we investigate the “machine question” by studying whether virtue or vice can be attributed to artificial intelligence; that is, are people willing to judge machines as possessing moral character? An experiment describes situations where (...)
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  10.  24
    Abstract machine theory and direct perception.Robert Shaw & James Todd - 1980 - Behavioral and Brain Sciences 3 (3):400-401.
  11. Issues of perception. Loops, memories and meanings / Chris Cutler ; Machine possession : dancing to repetitive beats / Hillegonda C. Rietveld ; Repetition and musical meaning : Anaphonic perspective in connection with the sonic experience of everyday life.Danick Trottier - 2018 - In Olivier Julien & Christophe Levaux (eds.), Over and over: exploring repetition in popular music. New York: Bloomsbury Academic.
     
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  12. Brain, mind and machine: What are the implications of deep brain stimulation for perceptions of personal identity, agency and free will?Nir Lipsman & Walter Glannon - 2012 - Bioethics 27 (9):465-470.
    Brain implants, such as Deep Brain Stimulation (DBS), which are designed to improve motor, mood and behavioural pathology, present unique challenges to our understanding of identity, agency and free will. This is because these devices can have visible effects on persons' physical and psychological properties yet are essentially undetectable when operating correctly. They can supplement and compensate for one's inherent abilities and faculties when they are compromised by neuropsychiatric disorders. Further, unlike talk therapy or pharmacological treatments, patients need not ‘do’ (...)
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  13.  6
    From concepts to percepts in human and machine face recognition: A reply to Blauch, Behrmann & Plaut.Galit Yovel & Naphtali Abudarham - 2021 - Cognition 208 (C):104424.
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  14.  20
    Assessment of Drivers’ Perceptions of Connected Vehicle–Human Machine Interface for Driving Under Adverse Weather Conditions: Preliminary Findings From Wyoming.Mohamed M. Ahmed, Guangchuan Yang & Sherif Gaweesh - 2020 - Frontiers in Psychology 11.
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  15. Machine generated contents note: Introduction / Eve Grace and Christopher Kelly; Part I. Politics and Economics: 1. Rousseau and the illustrious Montesquieu / Christopher Kelly; 2. Political economy and individual liberty / Ryan Patrick Hanley; Part II. Science and Epistemology: 3. The presence of sciences in Rousseau's trajectory and works / Bruno Bernardi and Bernadette Bensaud-Vincent; 4. Epistemology and political perception in the case of Rousseau / Terence Marshall; Part III. The Modern or Classical, Theological or Philosophical, Foundations of Rousseau's System: 5. On the intention of Rousseau / Leo Strauss; 6. On Strauss on Rousseau / Victor Gourevitch; 7. Built on sand: moral law in Rousseau's Second Discourse / Victor Gourevitch; 8. Rousseau and Pascal / Matthew W. Maguire; Part IV. Rousseau as Educator and Legislator: 9. The measure of the possible: imagination in Rousseau's philosophical pedagogy / Richard Velkley; 10. Rousseau's French revolution / Pamela K. Jensen; 11. Ro. [REVIEW]Pierre Manent - 2012 - In Eve Grace & Christopher Kelly (eds.), The Challenge of Rousseau. Cambridge University Press.
     
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  16.  7
    Social-motor experience and perception-action learning bring efficiency to machines.Ludovic Marin & Ghiles Mostafaoui - 2017 - Behavioral and Brain Sciences 40.
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  17. Can Machines Create Art?Mark Coeckelbergh - 2016 - Philosophy and Technology 30 (3):285-303.
    As machines take over more tasks previously done by humans, artistic creation is also considered as a candidate to be automated. But, can machines create art? This paper offers a conceptual framework for a philosophical discussion of this question regarding the status of machine art and machine creativity. It breaks the main question down in three sub-questions, and then analyses each question in order to arrive at more precise problems with regard to machine art and machine (...)
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  18.  7
    La machine à remonter le temps: quand l'Europe s'est mise à écrire l'histoire du monde.Serge Gruzinski - 2017 - [Paris]: Fayard.
    En 1517, il y a cinq cents ans, la réforme de Luther fracture l'Europe. La même année, les conquistadores espagnols s'en prennent au Mexique, qu'ils colonisent et christianisent. Ils y introduisent aussi notre façon d'écrire l'histoire. Les vainqueurs ignorent tout des sociétés indigènes. Or pour imposer leur loi, ils doivent impérativement connaître les coutumes et donc le passé des vaincus. Mais que sont l'histoire et le temps dans l'esprit des Indiens? Le temps n'est pas encore une valeur universelle. Comment les (...)
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  19.  91
    Why machines cannot feel.Rosemarie Velik - 2010 - Minds and Machines 20 (1):1-18.
    For a long time, emotions have been ignored in the attempt to model intelligent behavior. However, within the last years, evidence has come from neuroscience that emotions are an important facet of intelligent behavior being involved into cognitive problem solving, decision making, the establishment of social behavior, and even conscious experience. Also in research communities like software agents and robotics, an increasing number of researchers start to believe that computational models of emotions will be needed to design intelligent systems. Nevertheless, (...)
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  20. Virtual Machine Functionalism: The only form of functionalism worth taking seriously in Philosophy of Mind.Aaron Sloman -
    Most philosophers appear to have ignored the distinction between the broad concept of Virtual Machine Functionalism (VMF) described in Sloman&Chrisley (2003) and the better known version of functionalism referred to there as Atomic State Functionalism (ASF), which is often given as an explanation of what Functionalism is, e.g. in Block (1995). -/- One of the main differences is that ASF encourages talk of supervenience of states and properties, whereas VMF requires supervenience of machines that are arbitrarily complex networks of (...)
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  21. rethinking machine ethics in the era of ubiquitous technology.Jeffrey White (ed.) - 2015 - Hershey, PA, USA: IGI.
    Table of Contents Foreword .................................................................................................... ......................................... xiv Preface .................................................................................................... .............................................. xv Acknowledgment .................................................................................................... .......................... xxiii Section 1 On the Cusp: Critical Appraisals of a Growing Dependency on Intelligent Machines Chapter 1 Algorithms versus Hive Minds and the Fate of Democracy ................................................................... 1 Rick Searle, IEET, USA Chapter 2 We Can Make Anything: Should We? .................................................................................................. 15 Chris Bateman, University of Bolton, UK Chapter 3 Grounding Machine Ethics within the Natural System ........................................................................ 30 Jared Gassen, JMG Advising, USA Nak Young Seong, Independent Scholar, (...)
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  22.  16
    Machine Vision and Encoded Behaviour in Harun Farocki's Later Work.Moses May-Hobbs - 2023 - Film-Philosophy 27 (2):301-325.
    Harun Farocki's films make use of a category of images the director calls “operational”, a term describing images, either photographic or computer-generated, that perform or participate in tasks, usually in military or industrial settings. Treatments of Farocki's films have frequently used the notion of the operational image uncritically, and without comparing Farocki's definition of these images with existing semiotic categories. This article seeks to situate Farocki's operational imagery within a theory of visual communication, and to explore the implications of automated (...)
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  23.  22
    Living Machines: Metaphors We Live By.Nora S. Vaage - 2020 - NanoEthics 14 (1):57-70.
    Within biology and in society, living creatures have long been described using metaphors of machinery and computation: ‘bioengineering’, ‘genes as code’ or ‘biological chassis’. This paper builds on Lakoff and Johnson’s argument that such language mechanisms shape how we understand the world. I argue that the living machines metaphor builds upon a certain perception of life entailing an idea of radical human control of the living world, looking back at the historical preconditions for this metaphor. I discuss how design (...)
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  24.  39
    Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management.Min Kyung Lee - 2018 - Big Data and Society 5 (1).
    Algorithms increasingly make managerial decisions that people used to make. Perceptions of algorithms, regardless of the algorithms' actual performance, can significantly influence their adoption, yet we do not fully understand how people perceive decisions made by algorithms as compared with decisions made by humans. To explore perceptions of algorithmic management, we conducted an online experiment using four managerial decisions that required either mechanical or human skills. We manipulated the decision-maker, and measured perceived fairness, trust, and emotional response. With the mechanical (...)
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  25. Perception and Disjunctive Belief: A New Problem for Ambitious Predictive Processing.Assaf Weksler - forthcoming - Australasian Journal of Philosophy.
    Perception can’t have disjunctive content. Whereas you can think that a box is blue or red, you can’t see a box as being blue or red. Based on this fact, I develop a new problem for the ambitious predictive processing theory, on which the brain is a machine for minimizing prediction error, which approximately implements Bayesian inference. I describe a simple case of updating a disjunctive belief given perceptual experience of one of the disjuncts, in which Bayesian inference (...)
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  26. Posthuman perception of artificial intelligence in science fiction: an exploration of Kazuo Ishiguro’s Klara and the Sun.A. K. Ajeesh & S. Rukmini - 2023 - AI and Society 38 (2):853-860.
    Our fascination with artificial intelligence (AI), robots and sentient machines has a long history, and references to such humanoids are present even in ancient myths and folklore. The advancements in digital and computational technology have turned this fascination into apprehension, with the machines often being depicted as a binary to the human. However, the recent domains of academic enquiry such as transhumanism and posthumanism have produced many a literature in the genre of science fiction (SF) that endeavours to alter this (...)
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  27.  81
    Minds, machines and phenomenology: Some reflections on Dreyfus' What Computers Can't Do.Zenon W. Pylyshyn - 1974 - Cognition 3 (1):57-77.
  28.  93
    Logical machines: Peirce on psychologism.Majid Amini - 2008 - Disputatio 2 (24):335-348.
    This essay discusses Peirce’s appeal to logical machines as an argument against psychologism. It also contends that some of Peirce’s anti-psychologistic remarks on logic contain interesting premonitions arising from his perception of the asymmetry of proof complexity in monadic and relational logical calculi that were only given full formulation and explication in the early twentieth century through Church’s Theorem and Hilbert’s broad-ranging Entscheidungsproblem.
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  29.  40
    Logical Machines: Peirce on Psychologism.Majid Amini - 2008 - Disputatio 2 (24):1 - 14.
    This essay discusses Peirce’s appeal to logical machines as an argument against psychologism. It also contends that some of Peirce’s anti-psychologistic remarks on logic contain interesting premonitions arising from his perception of the asymmetry of proof complexity in monadic and relational logical calculi that were only given full formulation and explication in the early twentieth century through Church’s Theorem and Hilbert’s broad-ranging Entscheidungsproblem.
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  30.  5
    From perception to communication: a theory of types for action and meaning.Robin Cooper - 2023 - New York: Oxford University Press.
    This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. This book characterizes a notion of type that covers both linguistic and non-linguistic action, and lays the foundations for a theory of action based on a Theory of Types with Records (TTR). Robin Cooper argues that a theory of language based (...)
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  31.  89
    From deep learning to rational machines: what the history of philosophy can teach us about the future of artifical intelligence.Cameron J. Buckner - 2023 - New York, NY: Oxford University Press.
    This book provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued that the (...)
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  32.  17
    Machine Translation in the Hands of Trainee Translators – an Empirical Study.Joanna Sycz-Opoń & Ksenia Gałuskina - 2017 - Studies in Logic, Grammar and Rhetoric 49 (1):195-212.
    Automated translation is systematically gaining popularity among professional translators, who claim that editing MT output requires less time and effort than translating from scratch. MT technology is also offered in leading translator’s workstations, e.g., SDL Trados Studio, memoQ, Déjà Vu and Wordfast. Therefore, the dilemma arises: should MT be introduced into formal translation training? In order to answer this question, first, it is necessary to understand how trainee translators actually use MT. This study is an attempt to obtain this knowledge. (...)
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  33.  38
    Machine hermeneutics, postphenomenology, and facial recognition technology.Soraj Hongladarom - 2023 - AI and Society 38 (6):2151-2158.
    I would like to introduce the notion of machine hermeneutics in this paper. The notion refers to hermeneutical activity performed by machines. Machines are now capable of making the very interpretive tasks, using artificial intelligence algorithms based on the technology of machine learning that used to be the exclusive domain of human beings. In making this claim, I am not talking about possible conscious machines of the future, but those existing here and now. With facial recognition algorithms, for (...)
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  34.  9
    Distributed Perception: Resonances and Axiologies.Natasha Lushetich & Iain Campbell - 2021 - Routledge.
    Contributors to this book include key theorists and practitioners from media theory, Native Science, bio-media and sound art, philosophy, art history and design informatics. Collectively, they examine the becoming-technique of animal-human- machinic perceptibilities; and micro-perceptions that lie beneath the threshold of known perceptions yet create energetic vibrations. Who, what, and where perceives, and how? What are the sedimentations, inscriptions and axiologies of animal, human and machinic perceptions? What are their perceptibilities? Deleuze uses the word 'visibilities' to indicate that visual (...) isn't just a physiological given but cues operations productive of new assemblages. Perceptibilities are, by analogy, spatio- temporal, geolocative, kinaesthetic, audio-visual, and haptic operations that are always already memory. In the case of strong inscriptions, they are also epigenetic events. The contributors show distributed perception to be a key notion in addressing the emergence and persistence of plant, animal, human and machine relations. An invaluable reference for students and scholars in a range of areas including Media Theory, Sociology, Philosophy, Art and Design. (shrink)
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  35.  8
    Perception in Black Mirror.Brian Stiltner & Anna Vaughn - 2019 - In David Kyle Johnson (ed.), Black Mirror and Philosophy. Hoboken, NJ, USA: Wiley. pp. 311–319.
    Black Mirror is full of technologies that manipulate people's sensory perceptions. Philosophers of perception explain that our brains actively construct what we sense based on previous knowledge, expectations, and emotions, without us even being aware of this framing. Many Black Mirror episodes illustrate the mistakes that people can make when they misunderstand this framing process. Some episodes suggest that highly effective virtual reality technology could foil the strategies that Descartes recommended for distinguishing hallucinations and dreams from reality. Yet other (...)
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  36.  16
    Mind Over Machine.Hubert Dreyfus, Stuart E. Dreyfus & Tom Athanasiou - 1986 - Simon & Schuster.
    Human intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in (...)
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  37.  62
    Hierarchical minds and the perception/cognition distinction.Daniel Williams - 2023 - Inquiry: An Interdisciplinary Journal of Philosophy 66 (2):275-297.
    Recent research in cognitive and computational neuroscience portrays the neocortex as a hierarchically structured prediction machine. Several theorists have drawn on this research to challenge the traditional distinction between perception and cognition – specifically, to challenge the very idea that perception and cognition constitute useful kinds from the perspective of cognitive neuroscience. In place of this traditional taxonomy, such theorists advocate a unified inferential hierarchy subject to substantial bi-directional message passing. I outline the nature of this challenge (...)
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  38. A reflexive dispositional analysis of mechanistic perception.John Dilworth - 2006 - Minds and Machines 16 (4):479-493.
    The field of machine perception is based on standard informational and computational approaches to perception. But naturalistic informational theories are widely regarded as being inadequate, while purely syntactic computational approaches give no account of perceptual content. Thus there is a significant need for a novel, purely naturalistic perceptual theory not based on informational or computational concepts, which could provide a new paradigm for mechanistic perception. Now specifically evolutionary naturalistic approaches to perception have been—perhaps surprisingly—almost completely (...)
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  39.  1
    Digital interfacing: action and perception through technology.Daniel Black - 2019 - New York: Routledge/Taylor & Francis Group.
    The myth of the myth of transparency - Where do bodies end and objects begin? -- Beside ourselves -- Aesthesiogenesis -- Real time.
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  40.  72
    Essential issues of conscious machines.Pentti O. A. Haikonen - 2007 - Journal of Consciousness Studies 14 (7):72-84.
    The development of conscious machines faces a number of difficult issues such as the apparent immateriality of mind, qualia and self-awareness. Also consciousness-related cognitive processes such as perception, imagination, motivation and inner speech are a technical challenge. It is foreseen that the development of machine consciousness would call for a system approach; the developer of conscious machines should consider complete systems that integrate the cognitive processes seamlessly and process information in a transparent way with representational and non-representational information-processing (...)
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  41.  8
    Thinking Colours and/or Machines.Friedrich Kittler - 2006 - Theory, Culture and Society 23 (7-8):39-50.
    The article attempts to locate the role of the computer in the long-standing conflict between the humanities on one side and the hard sciences and mathematics on the other. The state-sponsored promotion of philosophy and its subsequent demotion of scientific explanations provoked a scientific counter-attack, in the course of which psychophysical research subjected the human perception apparatus to rigorous investigations that all but mechanized the faculties of human understanding that were so central to the aspirations of philosophers. The latter (...)
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  42. The Technologisation of the Social: A Political Anthropology of the Digital Machine.Paul O'Connor & Marius Ion Benta (eds.) - 2021 - London, UK: Routledge.
    In an era of digital revolution, artificial intelligence, big data and augmented reality, technology has shifted from being a tool of communication to a primary medium of experience and sociality. Some of the most basic human capacities are increasingly being outsourced to machines and we increasingly experience and interpret the world through digital interfaces, with machines becoming ever more ‘social’ beings. Social interaction and human perception are being reshaped in unprecedented ways. This book explores this technologisation of the social (...)
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  43.  33
    The machine basis for the Dasein: On the prospects for an existential functionalism. [REVIEW]Gordon G. Globus - 1986 - Man and World 19 (1):55-72.
    Heidegger has provided a profound account of human existence in terms of the to-be-da. Even though Heidegger disregarded its brain machine basis (and even though brain scientists disregard Heidegger), the issue of the Dasein's machine basis is raised by the empirically extremely well confirmed “supervenience” of the Dasein on the brain. Since the Turing machine will not do as basis for the Dasein, as Dreyfus has shown, contemporary functionalism cannot resolve the issue. Instead an “existential functionalism,” which (...)
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  44.  29
    Men, Mammals, or Machines? Dehumanization Embedded in Organizational Practices.Tuure Väyrynen & Sari Laari-Salmela - 2018 - Journal of Business Ethics 147 (1):95-113.
    The present study combines dehumanization research with the concept of organizational trust to examine how employees perceive various types of maltreatment embedded within the organizational practices that form the ethical climate of an organization. With the help of grounded theory methodology, we analyzed 188 employment exit interview transcripts from an ICT subcontracting company. By examining perceived trustworthiness and perceived humanness, we found that dehumanizing employees can deteriorate trust within organizations. The violations found in the empirical material were divided into animalistic (...)
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  45.  43
    The Futurist Noise Machine.Christine Poggi - 2009 - The European Legacy 14 (7):821-840.
    Futurism is famous for promoting “the art of noise” in its manifestos, serate (theatrical evenings), poetry, music, and visual art. Noise appears in Futurism as an avatar of the machine age, as a means of assaulting the senses of complacent audiences, and as a sign of the conflict inherent in matter. Beginning with the “Founding and Manifesto of Futurism” of 1909, where the noises of the street galvanize Marinetti and his friends to break out of a prison-like domestic space, (...)
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  46. Consciousness in meme machines.Susan J. Blackmore - 2003 - Journal of Consciousness Studies 10 (4-5):19-30.
    Setting aside the problems of recognising consciousness in a machine, this article considers what would be needed for a machine to have human-like conscious- ness. Human-like consciousness is an illusion; that is, it exists but is not what it appears to be. The illusion that we are a conscious self having a stream of experi- ences is constructed when memes compete for replication by human hosts. Some memes survive by being promoted as personal beliefs, desires, opinions and pos- (...)
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  47.  42
    Embodiment of a virtual prosthesis through training using an EMG-based human-machine interface: Case series.Karina Aparecida Rodrigues, João Vitor da Silva Moreira, Daniel José Lins Leal Pinheiro, Rodrigo Lantyer Marques Dantas, Thaís Cardoso Santos, João Luiz Vieira Nepomuceno, Maria Angélica Ratier Jajah Nogueira, Esper Abrão Cavalheiro & Jean Faber - 2022 - Frontiers in Human Neuroscience 16:870103.
    Therapeutic strategies capable of inducing and enhancing prosthesis embodiment are a key point for better adaptation to and acceptance of prosthetic limbs. In this study, we developed a training protocol using an EMG-based human-machine interface that was applied in the preprosthetic rehabilitation phase of people with amputation. This is a case series with the objective of evaluating the induction and enhancement of the embodiment of a virtual prosthesis. Six men and a woman with unilateral transfemoral traumatic amputation without previous (...)
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  48.  8
    Effects of human–machine interaction on employee’s learning: A contingent perspective.Wang Sen, Zhao Hong & Zhu Xiaomei - 2022 - Frontiers in Psychology 13.
    The popularization of intelligent machines such as service robot and industrial robot will make human–machine interaction, an essential work mode. This requires employees to adapt to the new work content through learning. However, the research involved human–machine interaction that how influences the employee’s learning is still rarely. This paper was to reveal the relationship between human–machine interaction and employee’s learning from the perspective of job characteristics and competence perception of employees. We sent questionnaire to 500 employees (...)
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  49.  7
    Can the machine smell? The problem of the universal olfactory dictionary.Л. А Велис - 2023 - Philosophical Problems of IT and Cyberspace (PhilIT&C) 1:14-26.
    In technology research, much has been achieved in the field of visual and auditory analysis as compared to the perception of smells. This article discusses the latest advances in the field of electronic (E-nose) used to recognize the olfactory code. All studies can be conditionally divided according to the goals into: 1. Research aimed at the practical application of electronic systems in areas such as food industry, medicine, the environment, etc. 2. Research aimed at cognitive processes and psycho-emotional reactions (...)
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    Self-Moving Machines and the Soul: Leibniz Contra Spinoza on the Spiritual Automaton.Christopher P. Noble - 2017 - The Leibniz Review 27:65-89.
    The young Spinoza and the mature Leibniz both characterize the soul as a self-moving spiritual automaton. Though it is unclear if Leibniz’s use of the term was suggested to him from his reading of Spinoza, Leibniz was aware of its presence in Spinoza’s Treatise on the Emendation of the Intellect. Considering Leibniz’s staunch opposition to Spinozism, the question arises as to why he was willing to adopt this term. I propose an answer to this question by comparing the spiritual automaton (...)
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