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Forthcoming articles
  1.  34
    Erhan Demircioglu (forthcoming). On an Argument From Analogy for the Possibility of Human Cognitive Closure. Minds and Machines:1-15.
    In this paper, I aim to show that McGinn’s argument from analogy for the possibility of human cognitive closure survives the critique raised on separate occasions by Dennett and Kriegel. I will distinguish between linguistic and non-linguistic cognitive closure and argue that the analogy argument from animal non-linguistic cognitive closure goes untouched by the objection Dennett and Kriegel raises.
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  2.  25
    Stuart Armstrong, Anders Sandberg & Nick Bostrom (forthcoming). Thinking Inside the Box: Using and Controlling an Oracle AI. Minds and Machines.
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  3.  11
    Mark Jm Bishop & C. Sdrolia (forthcoming). Rethinking Construction. On Luciano Floridi's 'Against Digital Ontology'. Minds and Machines.
  4. Jamie Byrom, Christine Consell, Michael Gorman, Michael Riley & Andrew Wrenn (forthcoming). Think Through History. Minds and Machines.
     
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  5.  6
    Arthur Charlesworth (forthcoming). A Theorem About Computationalism and “Absolute” Truth. Minds and Machines:1-22.
    This article focuses on issues related to improving an argument about minds and machines given by Kurt Gödel in 1951, in a prominent lecture. Roughly, Gödel’s argument supported the conjecture that either the human mind is not algorithmic, or there is a particular arithmetical truth impossible for the human mind to master, or both. A well-known weakness in his argument is crucial reliance on the assumption that, if the deductive capability of the human mind is equivalent to that of a (...)
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  6. Carol Cleland (forthcoming). Effective Procedures and Causal Processes. Minds and Machines.
     
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  7.  6
    Jonathan Cohen (forthcoming). Chromatic Layering and Color Relationalism. Minds and Machines:1-15.
    Brown highlights cases of “chromatic layering”—scenarios in which one perceives an opaque object through a transparent volume/film/filter with a chromatic or achromatic content of its own—as a way of reining in the argument from perceptual variation sometimes used to motivate a relationalist account of color properties. Brown urges that the argument in question does not generalize smoothly to all types of perceptual variation—in particular, that it fits poorly in layering cases in which there is either experiential fusion or scission. While (...)
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  8.  8
    David Cole (forthcoming). Kim Sterelny: The Evolved Apprentice: How Evolution Made Humans Unique. Minds and Machines:1-4.
  9.  3
    Matteo Colombo (forthcoming). Gualtiero Piccinini: Physical Computation: A Mechanistic Account. Minds and Machines:1-6.
  10. K. Dautenhahn (forthcoming). Socially Intelligent Agents-Towards a Science of Social Minds. Submitted To. Minds and Machines.
     
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  11.  4
    Eli Dresner & Ofra Rechter (forthcoming). From Symbol to ‘Symbol’, to Abstract Symbol: Response to Copeland and Shagrir on Turing-Machine Realism Versus Turing-Machine Purism. Minds and Machines:1-5.
    In their recent paper “Do Accelerating Turing Machines Compute the Uncomputable?” Copeland and Shagrir draw a distinction between a purist conception of Turing machines, according to which these machines are purely abstract, and Turing machine realism according to which Turing machines are spatio-temporal and causal “notional" machines. In the present response to that paper we concede the realistic aspects of Turing’s own presentation of his machines, pointed out by Copeland and Shagrir, but argue that Turing's treatment of symbols in the (...)
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  12.  5
    Soraj Hongladarom (forthcoming). Rafael Capurro, Michael Eldred and Daniel Nagel: Digital Whoness: Identity, Privacy and Freedom in the Cyberworld. Minds and Machines:1-5.
  13.  4
    Brian L. Keeley (forthcoming). Tibor Solymosi and John R. Shook : Neuroscience, Neurophilosophy, and Pragmatism: Brains at Work with the World. Minds and Machines:1-6.
  14. K. Laskey (forthcoming). Quantum Physical Symbol Systems. Submitted to Special Issue Of. Minds and Machines.
     
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  15.  7
    Ramesh Kumar Mishra (forthcoming). Peter Gärdenfors: The Geometry of Meaning: Semantics Based on Conceptual Spaces. Minds and Machines:1-4.
  16. M. I. T. OpenCourseWare (forthcoming). MIT OpenCourseWare. Minds and Machines.
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  17.  3
    Ronald Ortner (forthcoming). Optimal Behavior is Easier to Learn Than the Truth. Minds and Machines:1-10.
    We consider a reinforcement learning setting where the learner is given a set of possible models containing the true model. While there are algorithms that are able to successfully learn optimal behavior in this setting, they do so without trying to identify the underlying true model. Indeed, we show that there are cases in which the attempt to find the true model is doomed to failure.
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  18. O. Shagrir & I. Pitowsky (forthcoming). The Church-Turing Thesis and Hyper-Computation. Minds and Machines.
  19. Mariarosaria Taddeo (forthcoming). Philosophy and Computing in Information Societies. Minds and Machines:1-2.
  20.  11
    A. Nicolás Venturelli (forthcoming). A Cautionary Contribution to the Philosophy of Explanation in the Cognitive Neurosciences. Minds and Machines:1-27.
    I propose a cautionary assessment of the recent debate concerning the impact of the dynamical approach on philosophical accounts of scientific explanation in the cognitive sciences and, particularly, the cognitive neurosciences. I criticize the dominant mechanistic philosophy of explanation, pointing out a number of its negative consequences: In particular, that it doesn’t do justice to the field’s diversity and stage of development, and that it fosters misguided interpretations of dynamical models’ contribution. In order to support these arguments, I analyze a (...)
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  21.  5
    Paolo Vicig (forthcoming). A Note on the Equivalence of Coherence and Constrained Coherence. Minds and Machines:1-3.
    Constrained coherence is compared to coherence and its role in the behavioural interpretation of coherence is discussed. The equivalence of these two notions is proven for coherent conditional previsions, showing that the same course of reasoning applies to several similar concepts developed in the realm of imprecise probability theory.
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  22.  3
    Sean Welsh (forthcoming). Jerry A. Fodor and Xenon W. Pylyshyn: Minds Without Meanings: An Essay in the Content of Concepts. Minds and Machines:1-5.
  23.  2
    Sean Welsh (forthcoming). Luís Moniz Pereira & Ari Saptawijaya, Programming Machine Ethics. Minds and Machines:1-5.
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