Results for 'Computers'

977 found
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  1. The fortieth annual lecture series 1999-2000.Brain Computations & an Inevitable Conflict - 2000 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 31:199-200.
  2. What Computers Still Can’T Do: A Critique of Artificial Reason.Hubert L. Dreyfus - 1992 - MIT Press.
    A Critique of Artificial Reason Hubert L. Dreyfus . HUBERT L. DREYFUS What Computers Still Can't Do Thi s One XZKQ-GSY-8KDG What. WHAT COMPUTERS STILL CAN'T DO Front Cover.
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  3.  6
    A Model for Proustian Decay.Computer Lars - 2024 - Nordic Journal of Aesthetics 33 (67).
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  4. Section 2. Model Theory.Va Vardanyan, On Provability Resembling Computability, Proving Aa Voronkov & Constructive Logic - 1989 - In Jens Erik Fenstad, Ivan Timofeevich Frolov & Risto Hilpinen (eds.), Logic, methodology, and philosophy of science VIII: proceedings of the Eighth International Congress of Logic, Methodology, and Philosophy of Science, Moscow, 1987. New York, NY, U.S.A.: Sole distributors for the U.S.A. and Canada, Elsevier Science.
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  5.  32
    Could Intelligent Computers Postulate Their Own Evolution Theory Which Would Be More Plausible than that of the Humans?Abd Al-Roof Higazi - 2018 - Open Journal of Philosophy 8 (1):23-27.
    How did life come into existence on Earth? Although many scientific theories and hypotheses have been drawn, we have not yet been able to provide a detailed answer to this fundamental question. What if intelligent computers would someday be in a condition to postulate their own evolution theory which would explain how they came into the world, how would this theory look like? And how would it stand in comparison to the humans’ theory? Let us suppose that a thousand (...)
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  6.  62
    Computers and life styles.Yves Battagion - 1994 - World Futures 41 (1):17-20.
  7.  21
    Computers are dumb.Frank R. Freemon - 1979 - Behavioral and Brain Sciences 2 (3):464-464.
  8. Randomness and Recursive Enumerability.Siam J. Comput - unknown
    One recursively enumerable real α dominates another one β if there are nondecreasing recursive sequences of rational numbers (a[n] : n ∈ ω) approximating α and (b[n] : n ∈ ω) approximating β and a positive constant C such that for all n, C(α − a[n]) ≥ (β − b[n]). See [R. M. Solovay, Draft of a Paper (or Series of Papers) on Chaitin’s Work, manuscript, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, 1974, p. 215] and [G. J. (...)
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  9.  10
    Computer Science Logic: 11th International Workshop, CSL'97, Annual Conference of the EACSL, Aarhus, Denmark, August 23-29, 1997, Selected Papers.M. Nielsen, Wolfgang Thomas & European Association for Computer Science Logic - 1998 - Springer Verlag.
    This book constitutes the strictly refereed post-workshop proceedings of the 11th International Workshop on Computer Science Logic, CSL '97, held as the 1997 Annual Conference of the European Association on Computer Science Logic, EACSL, in Aarhus, Denmark, in August 1997. The volume presents 26 revised full papers selected after two rounds of refereeing from initially 92 submissions; also included are four invited papers. The book addresses all current aspects of computer science logics and its applications and thus presents the state (...)
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  10. Computers and the learning of biological concepts: Attitudes and achievement of Nigerian students.Olugbemiro J. Jegede, Peter Akinsola Okebukola & Gabriel A. Ajewole - 1991 - Science Education 75 (6):701-706.
     
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  11.  13
    Computers, Personal Data, and Theories of Technology: Comparative Approaches to Privacy Protection in the 1990s.Colin J. Bennett - 1991 - Science, Technology and Human Values 16 (1):51-69.
    Public policies designed to regulate the use of information technology to protect personal data have been based on different theoretical assumptions in different states, depending on whether the problem is defined in technological, civil libertarian, or bureaucratic terms. However, the rapid development, dispersal, and decentralization of information technology have facilitated a range of new surveillance practices that have in turn rendered the approaches of the 1960s and 1970s obsolete. The networking of the postindustrial state will require a reconceptualization of the (...)
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  12. Computers in mathematical inquiry.Jeremy Avigad - manuscript
    In Section 2, I survey some of the ways that computers are used in mathematics. These raise questions that seem to have a generally epistemological character, although they do not fall squarely under a traditional philosophical purview. The goal of this article is to try to articulate some of these questions more clearly, and assess the philosophical methods that may be brought to bear. In Section 3, I note that most of the issues can be classified under two headings: (...)
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  13.  59
    Computers and Self-Knowledge. Schick - 1989 - Thought: Fordham University Quarterly 64 (2):137-145.
  14.  79
    (1 other version)Non-Turing Computers and Non-Turing Computability.Mark Hogarth - 1994 - Psa 1994:126--138.
    A true Turing machine (TM) requires an infinitely long paper tape. Thus a TM can be housed in the infinite world of Newtonian spacetime (the spacetime of common sense), but not necessarily in our world, because our world-at least according to our best spacetime theory, general relativity-may be finite. All the same, one can argue for the "existence" of a TM on the basis that there is no such housing problem in some other relativistic worlds that are similar ("close") to (...)
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  15. Computers, intentionality, and the new dualism.Eric Dietrich - 1988 - Computers and Philosophy Newsletter.
  16. Understanding Computers.T. H. CROWLEY - 1967
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  17. Computers.Gualtiero Piccinini - 2008 - Pacific Philosophical Quarterly 89 (1):32–73.
    I offer an explication of the notion of computer, grounded in the practices of computability theorists and computer scientists. I begin by explaining what distinguishes computers from calculators. Then, I offer a systematic taxonomy of kinds of computer, including hard-wired versus programmable, general-purpose versus special-purpose, analog versus digital, and serial versus parallel, giving explicit criteria for each kind. My account is mechanistic: which class a system belongs in, and which functions are computable by which system, depends on the system's (...)
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  18.  12
    Fuzzy Logic: Computers, Education, and Language in a Techno-Illogical World.Ellen Rose - 2002 - Bulletin of Science, Technology and Society 22 (6):513-517.
    This article disrupts the logic of the “just-a-tool” argument, a powerful rhetorical device commonly offered as a rationale for using computers in education (and health care and other areas of society). Although this argument is articulated in many ways, its essence is the contention that computers are merely instructional tools, like blackboards or pencils, that can be used to enhance learning and therefore should be used in classrooms. The just-a-tool argument is difficult to challenge because it automatically constructs (...)
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  19. How Computers Are Changing Philosophy.Terrell Ward Bynum & James H. Moor (eds.) - 1998 - Blackwell.
     
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  20. Computers, literacy and being: Teaching with technology for a sustainable future.Robert Yagelski - 2005 - Kairos (misc) 6.
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  21.  86
    Deciding arithmetic using SAD computers.Mark Hogarth - 2004 - British Journal for the Philosophy of Science 55 (4):681-691.
    Presented here is a new result concerning the computational power of so-called SADn computers, a class of Turing-machine-based computers that can perform some non-Turing computable feats by utilising the geometry of a particular kind of general relativistic spacetime. It is shown that SADn can decide n-quantifier arithmetic but not (n+1)-quantifier arithmetic, a result that reveals how neatly the SADn family maps into the Kleene arithmetical hierarchy. Introduction Axiomatising computers The power of SAD computers Remarks regarding the (...)
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  22. What Computers Can’T Do: The Limits of Artificial Intelligence.Hubert L. Dreyfus - 1972 - Harper & Row.
  23.  35
    Why computers are never likely to be smarter than people.Dr Peter J. Marcer - 1989 - AI and Society 3 (2):142-145.
  24. Computers, justification, and mathematical knowledge.Konstantine Arkoudas & Selmer Bringsjord - 2007 - Minds and Machines 17 (2):185-202.
    The original proof of the four-color theorem by Appel and Haken sparked a controversy when Tymoczko used it to argue that the justification provided by unsurveyable proofs carried out by computers cannot be a priori. It also created a lingering impression to the effect that such proofs depend heavily for their soundness on large amounts of computation-intensive custom-built software. Contra Tymoczko, we argue that the justification provided by certain computerized mathematical proofs is not fundamentally different from that provided by (...)
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  25. SAD computers and two versions of the Church–Turing thesis.Tim Button - 2009 - British Journal for the Philosophy of Science 60 (4):765-792.
    Recent work on hypercomputation has raised new objections against the Church–Turing Thesis. In this paper, I focus on the challenge posed by a particular kind of hypercomputer, namely, SAD computers. I first consider deterministic and probabilistic barriers to the physical possibility of SAD computation. These suggest several ways to defend a Physical version of the Church–Turing Thesis. I then argue against Hogarth's analogy between non-Turing computability and non-Euclidean geometry, showing that it is a non-sequitur. I conclude that the Effective (...)
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  26. Brains as analog-model computers.Oron Shagrir - 2010 - Studies in History and Philosophy of Science Part A 41 (3):271-279.
    Computational neuroscientists not only employ computer models and simulations in studying brain functions. They also view the modeled nervous system itself as computing. What does it mean to say that the brain computes? And what is the utility of the ‘brain-as-computer’ assumption in studying brain functions? In previous work, I have argued that a structural conception of computation is not adequate to address these questions. Here I outline an alternative conception of computation, which I call the analog-model. The term ‘analog-model’ (...)
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  27. Computers And Common Sense: The Myth Of Thinking Machines.M. Taube - 1961 - Ny: Columbia University Press.
     
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  28. Digital computers versus dynamical systems: A conflation of distinctions.Gerard O'Brien - 1998 - Behavioral and Brain Sciences 21 (5):648-649.
    The distinction at the heart of van Gelder’s target article is one between digital computers and dynamical systems. But this distinction conflates two more fundamental distinctions in cognitive science that should be keep apart. When this conflation is undone, it becomes apparent that the “computational hypothesis” (CH) is not as dominant in contemporary cognitive science as van Gelder contends; nor has the “dynamical hypothesis” (DH) been neglected.
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  29. Computers and Intractability. A Guide to the Theory of NP-Completeness.Michael R. Garey & David S. Johnson - 1983 - Journal of Symbolic Logic 48 (2):498-500.
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  30.  90
    Utopias, Dolphins and Computers: Problems in Philosophical Plumbing.Mary Midgley - 1996 - New York: Routledge.
    Why do the big philosophical questions so often strike us as far-fetched and little to with everyday life? Mary Midgley shows that it need not be that way; she shows that there is a need for philosophy in the real world. Her popularity as one of our foremost philosophers is based on a no-nonsense, down-to-earth approach to fundamental human problems, philosphical or otherwise. In _Utopias, Dolphins and Computers_ she makes her case for philosophy as a difficult but necessary tool for (...)
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  31. What Computers Can't Do.H. Dreyfus - 1976 - British Journal for the Philosophy of Science 27 (2):177-185.
     
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  32.  16
    Why computers are never likely to be smarter than people.Peter J. Marcer - 1989 - AI and Society 3 (2):142-145.
  33.  46
    Computers as cognitive models of computors and vice versa.Jean Guy Meunier - 2013 - Epistemologia 36 (1):18-36.
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    Computers Ltd: What They Really Can't Do.David Harel - 2003 - Oxford University Press.
    In Computers Ltd, David Harel, best-selling author of Algorithmics, explains and illustrates one of the most fundamental, yet under-exposed facets of computers - their inherent limitations. Looking at the bad news that is proven, lasting, and robust, discussing limitations that no amounts of hardware, software, talents, or resources can overcome, the book presents a disturbing and provocative view of computing at the start of the 21st century.
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  35. Can computers think?Mitchell Waldrop - 1990 - In Ray Kurzweil (ed.), The Age of Intelligent Machines. MIT Press.
     
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  36.  12
    Computers, Minds and Robots.K. M. Sayre - 1994 - Philosophical Quarterly 44 (175):257-259.
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  37.  40
    Computers do not think, they are oriented in thought.Attay Kremer - 2021 - AI and Society 36 (1):401-402.
  38.  44
    Astrology, Computers, and the Volksgeist.Denis Dutton - 1995 - Philosophy and Literature 19 (2):424-434.
    In lieu of an abstract, here is a brief excerpt of the content:Astrology, Computers, and the VolksgeistDenis DuttonCarroll Righter is not a name you will recognize, unless, perhaps, you’re old enough and you grew up reading the Los Angeles Times. Righter was the Times’s astrologer, and encountering his name recently brought back a couple of memories from the early 1950s. I remember finding it strange that a man (he was pictured alongside his column) was called Carroll, though he didn’t (...)
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    Computers in Psychiatry.Peter Lauritsen Lauritsen & Peter Elsass - 2001 - Outlines. Critical Practice Studies 3 (2):25-33.
    Within psychiatric research, the field of 'technotherapy' has been centred primarily on attempts to assess the computer as a treatment tool. The situation of daily clinical usage is, however, often ignored within such research, as for instance in controlled clinical trials. Our empirical study illustrates how health professionals and clients use different concepts of science and health in the attempts of formulating standards for using computers in psychiatric practice. The psychiatrists at a major psychiatric hospital decided and justified clients' (...)
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  40.  15
    Computers and Commissars.Erazim Kohak - 1973 - Journal of Social Philosophy 4 (1):8-12.
  41.  7
    “Did Somebody Say Computers?” Professional and Ethical Repercussions of the Vocationalization and Commercialization of Education.Simon Adetona Akindes - 2000 - Bulletin of Science, Technology and Society 20 (2):90-99.
    The federal and corporate initiative to technologize education has transformed schools, colleges, and universities into a new frontier for the computer industry. While educational institutions have maintained an equivocal relationship with markets and the state, they had striven to preserve a simulacrum of independence until the early 1980s. Then, neoconservative ideologies and their accompanying discourse on restructuring education discovered in the computer the ideal neutral tool to promote, in its virtual clothes, their gospel. The Clinton administration and big corporations, taking (...)
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  42.  15
    Access to Tablet Portable Computers and Undergraduates Reading Culture: The experience of a Nigerian University.I. O. O. Amali, A. Yusuf, D. S. Daramola & M. B. Bello - 2015 - Human and Social Studies 4 (3):42-51.
    This paper examines the use of tablet personal computers and how they interfere with Nigerian undergraduates reading culture and love for educational books. The study adopts a descriptive research design. The University of Ilorin undergraduates constitute the population for this study while 200 level students of three faculties across the university constitute the target population. Stratified sampling technique was used to sample the needed respondents. A researchers’ designed questionnaire was use for data collection. The collected data was analysed using (...)
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  43. Relativistic Computers and the Turing Barrier.István Németi & Gyula Dávid - 2006 - Journal of Applied Mathematics and Computation 178:118--42.
  44.  16
    Quantum Physics, Digital Computers, and Life from a Holistic Perspective.George F. R. Ellis - 2024 - Foundations of Physics 54 (4):1-29.
    Quantum physics is a linear theory, so it is somewhat puzzling that it can underlie very complex systems such as digital computers and life. This paper investigates how this is possible. Physically, such complex systems are necessarily modular hierarchical structures, with a number of key features. Firstly, they cannot be described by a single wave function: only local wave functions can exist, rather than a single wave function for a living cell, a cat, or a brain. Secondly, the quantum (...)
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  45. Computers, Ethics, and Society.M. David Ermann, Mary B. Williams & Michele S. Shauf - 1998 - Ethics 108 (3):636-637.
     
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  46.  12
    Pax Technologica: Computers, International Affairs, and Human Reason in the Cold War.Joy Rohde - 2017 - Isis 108 (4):792-813.
    From the late 1960s to the early 1980s, a team of U.S. political scientists and computer specialists designed an automated, computerized information system that could ostensibly forecast conflict earlier and more accurately than human analysts. Named the Crisis Early Warning and Monitoring System (EWAMS), it sought to bring international relations scholarship and U.S. national security policy—traditionally qualitative and interpretive domains—under the jurisdiction of a man–machine system. Drawing together the histories of social science, computing, and foreign policy, this essay argues that (...)
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  47. Computers can think: a strange proof and its implications for cognitive science.G. Helm - 1996 - Communication and Cognition: An Interdisciplinary Quarterly Journal 29:15-36.
     
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  48.  4
    (1 other version)Understanding computers and cognition: A new foundation for design.Mark J. Stefik - 1987 - Artificial Intelligence 31 (2):213.
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    Understanding computers and cognition: A new foundation for design.Lucy Suchman - 1987 - Artificial Intelligence 31 (2):227-232.
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  50. Thinking computers and the problem of intentionality.Eric Dietrich - 1994 - In Thinking Computers and Virtual Persons: Essays on the Intentionality of Machines. Academic Press.
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