Results for 'minds and machines'

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  1. Minds and Machines: A Radical Dualist Perspective.John Beloff - 1994 - Journal of Consciousness Studies 1 (1):32-37.
    The article begins with a discussion about what might constitute consciousness in entities other than oneself and the implications of the mind-brain debate for the possibility of a conscious machine. While referring to several other facets of the philosophy of mind, the author focuses on epiphenomenalism and interactionism and presents a critique of the former in terms of biological evolution. The interactionist argument supports the relevance of parapsychology to the problem of consciousness and the statistical technique of meta-analysis is cited (...)
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  2. Afterword: Minds and Machines: My Mind to Your Mind: The Melding of Minds and Machines.Linda MacDonald Glenn - 2013 - Journal of Evolution and Technology 22 (1):146-148.
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  3.  98
    Mind and Machine.Joel Walmsley - 2012 - Palgrave-Macmillan.
    Walmsley offers a succinct introduction to major philosophical issues in artificial intelligence for advanced students of philosophy of mind, cognitive science and psychology. Whilst covering essential topics, it also provides the student with the chance to engage with cutting edge debates.
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  4. Minds and Machines.[author unknown] - 1968 - Foundations of Language 4 (2):220-220.
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  5. Mind and Machine. The New Spaces of Robots and Digitization.Bruce Janz & André Schmiljun - unknown
    Machines have always been a tool or technical instrument for human beings to facilitate and to accelerate processes through mechanical power. The same applies to robots nowadays – the next step in the evolution of machines. Over the course of the last few years, robot usage in society has expanded enormously, and they now carry out a remarkable number of tasks for us. It seems we are on the eve of a historic revolution that will change everything we (...)
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  6.  18
    Minds and Machines.Francis Jeffry Pelletier - unknown
    I was asked to develop a course “Philosophy and Cognitive Science” to be taught for the first time in Spring 1995 in the Philosophy Department at the University of Alberta. Since my cognitive science-related interests are focussed more towards philosophy mixed with artificial intelligence (A I) and linguistics than towards (say) neuroscience or anthropology, I decided to slant the course in t hat direction. The departmental intent was that this should be an upper-level course, but with no spe cific prerequisite (...)
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  7.  3
    Minds And Machines.W. Sluckin - 1954 - London: : Penguin,.
    This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and (...)
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  8. Minds and Machines.W. Sluckin - 1956 - Philosophy 31 (118):266-267.
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  9. Minds and Machines-6 Statements.B. Stiegler - 1989 - Semiotica 77 (1-3):339-362.
     
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  10. 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 - 2013 - 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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  11. Mind and Machine: Ethical and Epistemological Implications for Research. [REVIEW]Norm Friesen - 2010 - AI and Society 25 (1):83-92.
    Technologies are significant in research not only as instruments for gathering data and analyzing information; they also provide a valuable resource for the development of theory—in terms of what has been called the “tools to theory heuristic.” Focusing on the specific example of the fields of educational psychology and instructional technology and design, this paper begins by describing how the workings of the “tools to theory heuristic” are evident in the metaphors and descriptions of behaviorism, cognitivism, and constructivism. In each (...)
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  12.  62
    Minds and Machines.Gerard Casey - 1992 - American Catholic Philosophical Quarterly 66 (1):57-80.
    The emergence of electronic computers in the last thirty years has given rise to many interesting questions. Many of these questions are technical, relating to a machine’s ability to perform complex operations in a variety of circumstances. While some of these questions are not without philosophical interest, the one question which above all others has stimulated philosophical interest is explicitly non-technical and it can be expressed crudely as follows: Can a machine be said to think and, if so, in what (...)
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  13. Minds and Machines.Hilary Putnam - 1960 - In Sidney Hook (ed.), Dimensions of Minds. New York, USA: New York University Press. pp. 138-164.
  14.  3
    Minds and Machines.James E. Tomberlin - 1965 - Philosophy and Phenomenological Research 26 (2):278-279.
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  15. Minds and Machines.Alan Ross Anderson - 1964 - Prentice-Hall.
  16. Mind and Machine.Cathal O’Madagain - 2014 - International Journal of Philosophical Studies 22 (2):291-295.
  17.  17
    Minds and Machines. Edited by Alan Ross Anderson. Englewood Cliffs, N.J.: Prentice-Hall, Inc. 1964. Pp. Viii + 114. $2.45. [REVIEW]Stanley Paluch - 1965 - Dialogue 4 (1):125-127.
  18.  19
    Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?F. J. Boge, P. Grünke & R. Hillerbrand - 2022 - Minds and Machines 32 (1):1-9.
  19.  46
    Minds and Machines Special Issue: Ethics and Artificial Intelligence.Paula Boddington, Peter Millican & Michael Wooldridge - 2017 - Minds and Machines 27 (4):569-574.
  20.  15
    Minds and Machines.Joseph S. Ullian - 1971 - Journal of Symbolic Logic 36 (1):177-177.
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  21.  12
    Minds and Machines. By W. Sluckin. (London: Penguin Books, 1954. Pp. 223. Price 2s.).W. Mays - 1956 - Philosophy 31 (118):266-.
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  22. Music, Mind and Machine: Studies in Computer Music, Music Cognition and Artificial Intelligence.Stephen W. Smoliar - 1995 - Artificial Intelligence 79 (2):361-371.
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  23. Editorial: Of Minds and Machines.Russell Blackford - 2011 - Journal of Evolution and Technology 22 (1):i-ii.
    This special issue of JET deals with questions relating to our radically enhanced future selves or our possible “mind children” – conscious beings that we might bring about through the development of advanced computers and robots. Our mind children might exceed human levels of cognition, and avoid many human limitations and vulnerabilities. In a call for papers earlier this year, the editors asked how far we ought to go with processes that might ultimately convert humans to some sort of post-biological (...)
     
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  24. Turing and Polany on Minds and Machines.Wolfe Mays - 2000 - Appraisal 3.
  25.  69
    Metamathematical Criteria for Minds and Machines.Dale Jacquette - 1987 - Erkenntnis 27 (1):1-16.
  26. Word Meaning in Minds and Machines.Brenden M. Lake & Gregory L. Murphy - forthcoming - Psychological Review.
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  27.  39
    Special Issue of Minds and Machines on Causality, Uncertainty and Ignorance.Stephan Hartmann & Rolf Haenni (eds.) - 2006 - Springer.
    In everyday life, as well as in science, we have to deal with and act on the basis of partial (i.e. incomplete, uncertain, or even inconsistent) information. This observation is the source of a broad research activity from which a number of competing approaches have arisen. There is some disagreement concerning the way in which partial or full ignorance is and should be handled. The most successful approaches include both quantitative aspects (by means of probability theory) and qualitative aspect (by (...)
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  28. The Co-Evolution of Mind and Machine.Jerome C. Glenn - 1989 - Bulletin of Science, Technology and Society 9 (3):222-225.
    The Post-Information Age will see the merger of humans and their technologies, perhaps creating an entirely new species.
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  29. The Co-Evolution of Mind and Machine: The Post-Information Age Will See the Merger of Humans and Their Technologies, Perhaps Creating an Entirely New Species.Jerome C. Glenn - 1989 - Bulletin of Science, Technology and Society 9 (4):222-227.
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  30.  3
    A. R. Anderson's "Minds and Machines". [REVIEW]James E. Tomberlin - 1965 - Philosophy and Phenomenological Research 26 (2):278.
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  31. Gödel, Nagel, Minds, and Machines.Solomon Feferman - 2009 - Journal of Philosophy 106 (4):201-219.
    Ernest Nagel Lecture, Columbia University, Sept. 27, 2007.
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  32.  24
    Hilary Putnam. Minds and Machines. Minds and Machines, Edited by Alan Ross Anderson, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1964, Pp. 72–97. [REVIEW]Joseph S. Ullian - 1971 - Journal of Symbolic Logic 36 (1):177.
  33.  32
    Editorial for Minds and Machines Special Issue on Philosophy of Colour.M. Chirimuuta - 2015 - Minds and Machines 25 (2):123-132.
  34. Mind, a Machine? Review of “The Search for a Theory of Cognition: Early Mechanisms and New Ideas” Edited by Stefano Franchi and Francesco Bianchini.P. Cariani - 2012 - Constructivist Foundations 7 (3):222-227.
    Upshot: Written by recognized experts in their fields, the book is a set of essays that deals with the influences of early cybernetics, computational theory, artificial intelligence, and connectionist networks on the historical development of computational-representational theories of cognition. In this review, I question the relevance of computability arguments and Jonasian phenomenology, which has been extensively invoked in recent discussions of autopoiesis and Ashby’s homeostats. Although the book deals only indirectly with constructivist approaches to cognition, it is useful reading for (...)
     
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  35. Implications of a Logical Paradox for Computer-Dispensed Justice Reconsidered: Some Key Differences Between Minds and Machines.Joseph S. Fulda - 2012 - Artificial Intelligence and Law 20 (3):321-333.
    We argued [Since this argument appeared in other journals, I am reprising it here, almost verbatim.] (Fulda in J Law Info Sci 2:230–232, 1991/AI & Soc 8(4):357–359, 1994) that the paradox of the preface suggests a reason why machines cannot, will not, and should not be allowed to judge criminal cases. The argument merely shows that they cannot now and will not soon or easily be so allowed. The author, in fact, now believes that when—and only when—they are ready (...)
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  36.  30
    From Intelligence to Rationality of Minds and Machines in Contemporary Society: The Sciences of Design and the Role of Information.Wenceslao J. Gonzalez - 2017 - Minds and Machines 27 (3):397-424.
    The presence of intelligence and rationality in Artificial Intelligence and the Internet requires a new context of analysis in which Herbert Simon’s approach to the sciences of the artificial is surpassed in order to grasp the role of information in our contemporary setting. This new framework requires taking into account some relevant aspects. In the historical endeavor of building up AI and the Internet, minds and machines have interacted over the years and in many ways through the interrelation (...)
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  37.  63
    The Mind And The Machine: Philosophical Aspects Of Artificial Intelligence.Steven Torrance (ed.) - 1984 - Chichester: Horwood.
  38. Theory and Philosophy of AI (Minds and Machines, 22/2 - Special Volume).Vincent C. Müller (ed.) - 2012 - Springer.
    Invited papers from PT-AI 2011. - Vincent C. Müller: Introduction: Theory and Philosophy of Artificial Intelligence - Nick Bostrom: The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents - Hubert L. Dreyfus: A History of First Step Fallacies - Antoni Gomila, David Travieso and Lorena Lobo: Wherein is Human Cognition Systematic - J. Kevin O'Regan: How to Build a Robot that Is Conscious and Feels - Oron Shagrir: Computation, Implementation, Cognition.
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  39.  21
    Review: Hilary Putnam, Alan Ross Anderson, Sidney Hook, Minds and Machines[REVIEW]Joseph S. Ullian - 1971 - Journal of Symbolic Logic 36 (1):177-177.
  40. The Mind and the Machine.S. Torrance (ed.) - 1987 - Horwood.
  41. BRINGSJORD) 457–459 In Addition: Rapaport, WJ (2000),'Discussion Review: Steven Pinker, How the Mind Works', Minds and Machines 10, Pp. 381–389. In Note 1 on P. 387 a Website Page has Been Changed. [REVIEW]Gregory J. E. Rawlins & Francesco Orilia - 2000 - Minds and Machines 10:583-584.
  42. A Brief Note on Gödel, Nagel, Minds, and Machines.Wilfried Sieg - 2017 - In G. Jaeger & W. Sieg (eds.), Feferman on Foundations. Springer.
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  43.  9
    Hegel, Mind, and Mechanism: Why Machines Have No Psyche, Consciousness, or Intelligence.Richard Dien Winfield - 2009 - Hegel Bulletin 30 (1-2):1-18.
    The rise of computers and robots, heralded in science fiction and pervading ever more daily experience, has fostered a rampant temptation to model mind as a mechanism and expect machines one day to simulate all mental reality. This temptation reflects more than technological developments, however. It arises from the perennial dilemma of two complementary approaches to mind that proceed from the assumption of a mind/body duality: one conceiving mind to be wholly immaterial and the other reducing mind to inanimate (...)
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  44.  37
    Leveling the Playing Field Between Mind and Machine: A Reply to McCall.Alexander George & Daniel J. Velleman - 2000 - Journal of Philosophy 97 (8):456-452.
  45. The Mind and the Machine. On the Conceptual and Moral Implications of Brain-Machine Interaction.Maartje Schermer - 2009 - NanoEthics 3 (3):217-230.
    Brain-machine interfaces are a growing field of research and application. The increasing possibilities to connect the human brain to electronic devices and computer software can be put to use in medicine, the military, and entertainment. Concrete technologies include cochlear implants, Deep Brain Stimulation, neurofeedback and neuroprosthesis. The expectations for the near and further future are high, though it is difficult to separate hope from hype. The focus in this paper is on the effects that these new technologies may have on (...)
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  46.  36
    Consciousness: A Philosophic Study of Minds and Machines.J. R. Lucas & Kenneth M. Sayre - 1972 - Philosophical Review 81 (2):241.
  47.  1
    Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer.Timothy D. Koschmann - 1987 - Artificial Intelligence 33 (1):135-140.
  48.  42
    Leveling the Playing Field Between Mind and Machine: A Reply to McCall.Alexander George & Daniel J. Velleman - 2000 - Journal of Philosophy 97 (8):456.
  49. Symmetry Between the Intentionality of Minds and Machines? The Biological Plausibility of Dennett’s Account.Bence Nanay - 2006 - Minds and Machines 16 (1):57-71.
    One of the most influential arguments against the claim that computers can think is that while our intentionality is intrinsic, that of computers is derived: it is parasitic on the intentionality of the programmer who designed the computer-program. Daniel Dennett chose a surprising strategy for arguing against this asymmetry: instead of denying that the intentionality of computers is derived, he endeavours to argue that human intentionality is derived too. I intend to examine that biological plausibility of Dennett’s suggestion and show (...)
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  50.  66
    Consciousness: A Philosophic Study of Minds and Machines.Kenneth M. Sayre - 1969 - Random House.
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