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  1. The Comprehensibility Theorem and the Foundations of Artificial Intelligence.Arthur Charlesworth - 2014 - Minds and Machines 24 (4):439-476.
    Problem-solving software that is not-necessarily infallible is central to AI. Such software whose correctness and incorrectness properties are deducible by agents is an issue at the foundations of AI. The Comprehensibility Theorem, which appeared in a journal for specialists in formal mathematical logic, might provide a limitation concerning this issue and might be applicable to any agents, regardless of whether the agents are artificial or natural. The present article, aimed at researchers interested in the foundations of AI, addresses many questions (...)
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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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  • Evaluating the explanatory power of the Conscious Turing Machine.Asger Kirkeby-Hinrup, Jakob Stenseke & Morten S. Overgaard - 2024 - Consciousness and Cognition 124 (C):103736.
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  • Emil du Bois-Reymond's Reflections on Consciousness.Gabriel Finkelstein - 2014 - In Chris Smith Harry Whitaker (ed.), Brain, Mind and Consciousness in the History of Neuroscience. Springer. pp. 163-184.
    The late 19th-century Ignorabimus controversy over the limits of scientific knowledge has often been characterized as proclaiming the end of intellectual progress, and by implication, as plunging Germany into a crisis of pessimism from which Liberalism never recovered. My research supports the opposite interpretation. The initiator of the Ignorabimus controversy, Emil du Bois-Reymond, was a physiologist who worked his whole life against the forces of obscurantism, whether they came from the Catholic and Conservative Right or the scientistic and millenarian Left. (...)
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  • The modal argument for hypercomputing minds.Selmer Bringsjord - 2004 - Theoretical Computer Science 317.
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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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  • The Problematic Nature of Gödel’s Disjunctions and Lucas-Penrose’s Theses.Arnon Avron - 2020 - Studia Semiotyczne 34 (1):83-108.
    We show that the name “Lucas-Penrose thesis” encompasses several different theses. All these theses refer to extremely vague concepts, and so are either practically meaningless, or obviously false. The arguments for the various theses, in turn, are based on confusions with regard to the meaning of these vague notions, and on unjustified hidden assumptions concerning them. All these observations are true also for all interesting versions of the much weaker thesis known as “Gö- del disjunction”. Our main conclusions are that (...)
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  • Is the brain a quantum computer?Abninder Litt, Chris Eliasmith, Frederick W. Kroon, Steven Weinstein & Paul Thagard - 2006 - Cognitive Science 30 (3):593-603.
    We argue that computation via quantum mechanical processes is irrelevant to explaining how brains produce thought, contrary to the ongoing speculations of many theorists. First, quantum effects do not have the temporal properties required for neural information processing. Second, there are substantial physical obstacles to any organic instantiation of quantum computation. Third, there is no psychological evidence that such mental phenomena as consciousness and mathematical thinking require explanation via quantum theory. We conclude that understanding brain function is unlikely to require (...)
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  • How far can we go through social system?Hokky Situngkir - 2004
    The paper elaborates an endeavor on applying the algorithmic information-theoretic computational complexity to meta-social-sciences. It is motivated by the effort on seeking the impact of the well-known incompleteness theorem to the scientific methodology approaching social phenomena. The paper uses the binary string as the model of social phenomena to gain understanding on some problems faced in the philosophy of social sciences or some traps in sociological theories. The paper ends on showing the great opportunity in recent social researches and some (...)
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