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  1. Штучний інтелект як антропотехнологія.Михайло Богачов - 2021 - Filosofska Dumka 2021 (3):180-200.
    Штучний інтелект — це комп’ютерна система, яка мислить або діє як людина. Особливості ШІ втілюють імпліцитні уявлення його розробників про природу людини. «Сильний» ШІ, який має загальні коґнітивні здатності дорослої людини, досі не створено, натомість «слабкі» ШІ вже є частиною планетарної обчислювальної інфраструктури. Нейронно-мережеві ШІ імі- тують специфічні типи людської поведінки, узагальнюючи дані про повсякденне життя ко- ристувачів. Такий підхід у створенні ШІ відповідає філософському мейнстріму ХХ сторіччя, коли повсякденне життя розглядали як джерело мовних та соціальних наперед-даностей, що забезпечують порозуміння. (...)
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  • In memoriam: Per Lindström.Jouko Väänänen & Dag Westerståhl - 2010 - Theoria 76 (2):100-107.
  • Meeting on Neutral Ground. A Reflection on Man-Machine Contests.Albert Visser - 2020 - Studia Semiotyczne 34 (1):279-294.
    We argue that thinking of the man-machine comparison in terms of a contest involves, in a reasonable scenario, a criterion of success that is neutral. This is because we want to avoid a petitio principii. We submit, however, that, by looking at things this way, one makes the most essential human things invisible. Thus, in a sense, the contest approach is self-defeating.
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  • Mechanism, truth, and Penrose's new argument.Stewart Shapiro - 2003 - Journal of Philosophical Logic 32 (1):19-42.
    Sections 3.16 and 3.23 of Roger Penrose's Shadows of the mind (Oxford, Oxford University Press, 1994) contain a subtle and intriguing new argument against mechanism, the thesis that the human mind can be accurately modeled by a Turing machine. The argument, based on the incompleteness theorem, is designed to meet standard objections to the original Lucas-Penrose formulations. The new argument, however, seems to invoke an unrestricted truth predicate (and an unrestricted knowability predicate). If so, its premises are inconsistent. The usual (...)
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  • Remarks on the Gödelian Anti-Mechanist Arguments.Panu Raatikainen - 2020 - Studia Semiotyczne 34 (1):267–278.
    Certain selected issues around the Gödelian anti-mechanist arguments which have received less attention are discussed.
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  • Penrose's new argument.Per Lindström - 2001 - Journal of Philosophical Logic 30 (3):241-250.
    It has been argued, by Penrose and others, that Gödel's proof of his first incompleteness theorem shows that human mathematics cannot be captured by a formal system F: the Gödel sentence G(F) of F can be proved by a (human) mathematician but is not provable in F. To this argment it has been objected that the mathematician can prove G(F) only if (s)he can prove that F is consistent, which is unlikely if F is complicated. Penrose has invented a new (...)
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  • A philosophical view on singularity and strong AI.Christian Hugo Hoffmann - forthcoming - AI and Society:1-18.
    More intellectual modesty, but also conceptual clarity is urgently needed in AI, perhaps more than in many other disciplines. AI research has been coined by hypes and hubris since its early beginnings in the 1950s. For instance, the Nobel laureate Herbert Simon predicted after his participation in the Dartmouth workshop that “machines will be capable, within 20 years, of doing any work that a man can do”. And expectations are in some circles still high to overblown today. This paper addresses (...)
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  • Minds vs Machines.Karim Gherab - 2022 - Human Review. International Humanities Review / Revista Internacional de Humanidades 11 (2):185-195.
    This paper presents, from a historical and logical-philosophical perspective, the Gödelian arguments of two Oxford scholars, John Lucas and Roger Penrose. Both have been based on Gödel's Theorem to refute mechanism, computationalism and the possibility of creating an AI capable of simulating or duplicating the human mind. In the conclusions, the growing application of empirical methods in mathematics is mentioned and a possible path that would support Lucas and Penrose's arguments is speculated.
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  • Pragmatic holism.Bruce Edmonds - 1996 - Foundations of Science 4 (1):57-82.
    The reductionist/holist debate seems an impoverished one, with many participants appearing to adopt a position first and constructing rationalisations second. Here I propose an intermediate position of pragmatic holism, that irrespective of whether all natural systems are theoretically reducible, for many systems it is completely impractical to attempt such a reduction, also that regardless if whether irreducible `wholes' exist, it is vain to try and prove this in absolute terms. This position thus illuminates the debate along new pragmatic lines, and (...)
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  • Pragmatic holism (or pragmatic reductionism).Bruce Edmonds - 1999 - Foundations of Science 4 (1):57-82.
    The reductionist/holist debate is highly polarised. I propose an intermediate position of pragmatic holism. It derives from two claims: firstly, that irrespective of whether all natural systems are theoretically reducible, for many systems it is utterly impractical to attempt such a reduction, and secondly, that regardless of whether irreducible 'wholes exist, it is vain to try and prove this. This position illuminates the debate along new pragmatic lines by refocussing attention on the underlying heuristics of learning about the natural world.
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  • Turing's O-machines, Searle, Penrose and the brain.B. J. Copeland - 1998 - Analysis 58 (2):128-138.
  • Turing's o-machines, Searle, Penrose, and the brain.Jack Copeland - 1998 - Analysis 58 (2):128-138.
    In his PhD thesis (1938) Turing introduced what he described as 'a new kind of machine'. He called these 'O-machines'. The present paper employs Turing's concept against a number of currently fashionable positions in the philosophy of mind.
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  • Artificial Intelligence Is Stupid and Causal Reasoning Will Not Fix It.J. Mark Bishop - 2021 - Frontiers in Psychology 11.
    Artificial Neural Networks have reached “grandmaster” and even “super-human” performance across a variety of games, from those involving perfect information, such as Go, to those involving imperfect information, such as “Starcraft”. Such technological developments from artificial intelligence (AI) labs have ushered concomitant applications across the world of business, where an “AI” brand-tag is quickly becoming ubiquitous. A corollary of such widespread commercial deployment is that when AI gets things wrong—an autonomous vehicle crashes, a chatbot exhibits “racist” behavior, automated credit-scoring processes (...)
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  • Superminds: People Harness Hypercomputation, and More.Mark Phillips, Selmer Bringsjord & M. Zenzen - 2003 - Dordrecht, Netherland: Springer Verlag.
    When Ken Malone investigates a case of something causing mental static across the United States, he is teleported to a world that doesn't exist.
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  • A refutation of Penrose's Godelian case against artificial intelligence.Selmer Bringsjord - 2000
    Having, as it is generally agreed, failed to destroy the computational conception of mind with the G\"{o}delian attack he articulated in his {\em The Emperor's New Mind}, Penrose has returned, armed with a more elaborate and more fastidious G\"{o}delian case, expressed in and 3 of his {\em Shadows of the Mind}. The core argument in these chapters is enthymematic, and when formalized, a remarkable number of technical glitches come to light. Over and above these defects, the argument, at best, is (...)
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  • The modal argument for hypercomputing minds.Selmer Bringsjord - 2004 - Theoretical Computer Science 317.
  • Does God Play Dice? Roger Penrose, Quantum Consciousness, and the Debate Over the Limits of Science.Gabriel Finkelstein - manuscript
    A talk delivered at the conference “Science and Religion: The Religious Beliefs and Practices of Scientists—20th Century,” Institut für Wissenschaftsgeschichte, Georg-August-Universität, Göttingen, 28 May 2002.
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