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  1. (1 other version)Cognitive science.Paul Thagard - 2008 - Stanford Encyclopedia of Philosophy.
    Cognitive science is the interdisciplinary investigation of mind and intelligence, embracing psychology, neuroscience, anthropology, artificial intelligence, and philosophy. There are many important philosophical questions related to this investigation, but this short chapter will focus on the following three. What is the nature of the explanations and theories developed in cognitive science? What are the relations among the five disciplines that comprise cognitive science? What are the implications of cognitive science research for general issues in the philosophy of science? I will (...)
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  • Paraconsistent logic.Graham Priest - 2008 - Stanford Encyclopedia of Philosophy.
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  • Logic and the dynamics of information.Johan van Benthem - 2003 - Minds and Machines 13 (4):503-519.
    We discuss how issues of information and computation interact with logic today, and what might be a natural extended agenda of investigation.
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  • Hypercomputation.B. Jack Copeland - 2002 - Minds and Machines 12 (4):461-502.
    A survey of the field of hypercomputation, including discussion of a variety of objections.
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  • Toward a formal philosophy of hypercomputation.Selmer Bringsjord & Michael Zenzen - 2002 - Minds and Machines 12 (2):241-258.
    Does what guides a pastry chef stand on par, from the standpoint of contemporary computer science, with what guides a supercomputer? Did Betty Crocker, when telling us how to bake a cake, provide an effective procedure, in the sense of `effective' used in computer science? According to Cleland, the answer in both cases is ``Yes''. One consequence of Cleland's affirmative answer is supposed to be that hypercomputation is, to use her phrase, ``theoretically viable''. Unfortunately, though we applaud Cleland's ``gadfly philosophizing'' (...)
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  • Logical pluralism.Jc Beall & Greg Restall - 2000 - Australasian Journal of Philosophy 78 (4):475 – 493.
    Consequence is at the heart of logic; an account of consequence, of what follows from what, offers a vital tool in the evaluation of arguments. Since philosophy itself proceeds by way of argument and inference, a clear view of what logical consequence amounts to is of central importance to the whole discipline. In this book JC Beall and Greg Restall present and defend what thay call logical pluralism, the view that there is more than one genuine deductive consequence relation, a (...)
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  • (1 other version)Computing machinery and intelligence.Alan Turing - 1950 - Mind 59 (236):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  • Logical Pluralism.J. C. Beall & Greg Restall - 2005 - Oxford, GB: Oxford University Press. Edited by Greg Restall.
    Consequence is at the heart of logic, and an account of consequence offers a vital tool in the evaluation of arguments. This text presents what the authors term as 'logical pluralism' arguing that the notion of logical consequence doesn't pin down one deductive consequence relation; it allows for many of them.
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  • (1 other version)Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • Logic, language-games and information, kantian themes in the philosophy of logic.Jaakko Hintikka - 1973 - Revue Philosophique de la France Et de l'Etranger 163:477-478.
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  • Metaphor in computer science.T. R. Colburn & G. M. Shute - 2008 - Journal of Applied Logic 6 (4):526-533.
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  • A dialogue concerning two world systems: Info-computational vs. mechanistic.Gordana Dodig-Crnkovic & Vincent C. Müller - 2011 - In Gordana Dodig Crnkovic & Mark Burgin (eds.), Information and computation: Essays on scientific and philosophical understanding of foundations of information and computation. World Scientific. pp. 149-184.
    The dialogue develops arguments for and against a broad new world system - info-computationalist naturalism - that is supposed to overcome the traditional mechanistic view. It would make the older mechanistic view into a special case of the new general info-computationalist framework (rather like Euclidian geometry remains valid inside a broader notion of geometry). We primarily discuss what the info-computational paradigm would mean, especially its pancomputationalist component. This includes the requirements for a the new generalized notion of computing that would (...)
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  • An Unsolvable Problem of Elementary Number Theory.Alonzo Church - 1936 - Journal of Symbolic Logic 1 (2):73-74.
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  • On the Origin of Objects.Brian Cantwell Smith - 1996 - Cambridge: Mass. : MIT Press.
    On the Origin of Objects is the culmination of Brian Cantwell Smith's decade-long investigation into the philosophical and metaphysical foundations of computation, artificial intelligence, and cognitive science. Based on a sustained critique of the formal tradition that underlies the reigning views, he presents an argument for an embedded, participatory, "irreductionist," metaphysical alternative. Smith seeks nothing less than to revise our understanding not only of the machines we build but also of the world with which they interact. Smith's ambitious project begins (...)
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  • Investigations into Information Semantics and Ethics of Computing.Gordana Dodig-Crnkovic - 2005 - Dissertation, Mälardalen
    The recent development of the research field of Computing and Philosophy has triggered investigations into the theoretical foundations of computing and information. This thesis consists of two parts which are the result of studies in two areas of Philosophy of Computing and Philosophy of Information regarding the production of meaning and the value system with applications. The first part develops a unified dual-aspect theory of information and computation, in which information is characterized as structure, and computation is the information dynamics. (...)
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  • Super turing-machines.B. Jack Copeland - 1998 - Complexity 4 (1):30-32.
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  • (1 other version)Alan Turing in the Stanford Encyclopedia of Philosophy.Andrew Hodges - unknown
    The origin of my article lies in the appearance of Copeland and Proudfoot's feature article in Scientific American, April 1999. This preposterous paper, as described on another page, suggested that Turing was the prophet of 'hypercomputation'. In their references, the authors listed Copeland's entry on 'The Church-Turing thesis' in the Stanford Encyclopedia. In the summer of 1999, I circulated an open letter criticising the Scientific American article. I included criticism of this Encyclopedia entry. This was forwarded to Prof. Ed Zalta, (...)
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  • Open problems in the philosophy of information.Luciano Floridi - 2004 - Metaphilosophy 35 (4):554-582.
    The philosophy of information (PI) is a new area of research with its own field of investigation and methodology. This article, based on the Herbert A. Simon Lecture of Computing and Philosophy I gave at Carnegie Mellon University in 2001, analyses the eighteen principal open problems in PI. Section 1 introduces the analysis by outlining Herbert Simon's approach to PI. Section 2 discusses some methodological considerations about what counts as a good philosophical problem. The discussion centers on Hilbert's famous analysis (...)
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  • On Computable Numbers, with an Application to the Entscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
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  • The Church-Turing Thesis.B. Jack Copeland - 2014 - In Edward N. Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford, CA: The Metaphysics Research Lab.
    There are various equivalent formulations of the Church-Turing thesis. A common one is that every effective computation can be carried out by a Turing machine. The Church-Turing thesis is often misunderstood, particularly in recent writing in the philosophy of mind.
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  • Systems of logic based on ordinals..Alan Turing - 1939 - London,: Printed by C.F. Hodgson & son.
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  • An introduction to cybernetics.William Ross Ashby - 1956 - New York,: J. Wiley.
    We must, therefore, make a study of mechanism; but some introduction is advisable, for cybernetics treats the subject from a new, and therefore unusual, ...
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  • Logic, language-games and information: Kantian themes in the philosophy of logic.Jaakko Hintikka - 1973 - Oxford,: Clarendon Press.
    I LOGIC IN PHILOSOPHY— PHILOSOPHY OF LOGIC i. On the relation of logic to philosophy I n this book, the consequences of certain logical insights for ...
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  • Computational modeling vs. computational explanation: Is everything a Turing machine, and does it matter to the philosophy of mind?Gualtiero Piccinini - 2007 - Australasian Journal of Philosophy 85 (1):93 – 115.
    According to pancomputationalism, everything is a computing system. In this paper, I distinguish between different varieties of pancomputationalism. I find that although some varieties are more plausible than others, only the strongest variety is relevant to the philosophy of mind, but only the most trivial varieties are true. As a side effect of this exercise, I offer a clarified distinction between computational modelling and computational explanation.<br><br>.
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  • Shifting the paradigm of philosophy of science: Philosophy of information and a new renaissance. [REVIEW]Gordana Dodig-Crnkovic - 2003 - Minds and Machines 13 (4):521-536.
    Computing is changing the traditional field of Philosophy of Science in a very profound way. First as a methodological tool, computing makes possible ``experimental Philosophy'' which is able to provide practical tests for different philosophical ideas. At the same time the ideal object of investigation of the Philosophy of Science is changing. For a long period of time the ideal science was Physics (e.g., Popper, Carnap, Kuhn, and Chalmers). Now the focus is shifting to the field of Computing/Informatics. There are (...)
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  • On communication and computation.Paul Bohan Broderick - 2004 - Minds and Machines 14 (1):1-19.
    Comparing technical notions of communication and computation leads to a surprising result, these notions are often not conceptually distinguishable. This paper will show how the two notions may fail to be clearly distinguished from each other. The most famous models of computation and communication, Turing Machines and (Shannon-style) information sources, are considered. The most significant difference lies in the types of state-transitions allowed in each sort of model. This difference does not correspond to the difference that would be expected after (...)
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  • Beyond the universal Turing machine.Jack Copeland - 1999 - Australasian Journal of Philosophy 77 (1):46-67.
    We describe an emerging field, that of nonclassical computability and nonclassical computing machinery. According to the nonclassicist, the set of well-defined computations is not exhausted by the computations that can be carried out by a Turing machine. We provide an overview of the field and a philosophical defence of its foundations.
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  • An Introduction to Cybernetics. [REVIEW]W. R. Ashby - 1957 - Australasian Journal of Philosophy 35:147.
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  • Narrow Versus Wide Mechanism: Including a Re-Examination of Turing’s Views on the Mind-Machine Issue.B. Jack Copeland - 2000 - Journal of Philosophy 97 (1):5-32.
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  • Logical dynamics meets logical pluralism?Johan van Benthem - 2008 - Australasian Journal of Logic 6:182-209.
    Where is logic heading today? There is a general feeling that the discipline is broadening its scope and agenda beyond classical foundational issues, and maybe even a concern that, like Stephen Leacock’s famous horseman, it is ‘riding off madly in all directions’. So, what is the resultant vector? There seem to be two broad answers in circulation today. One is logical pluralism, locating the new scope of logic in charting a wide variety of reasoning styles, often marked by non-classical structural (...)
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  • A New Kind of Science.Stephen Wolfram - 2002 - Wolfram Media.
    NOW IN PAPERBACK"€"Starting from a collection of simple computer experiments"€"illustrated in the book by striking computer graphics"€"Stephen Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
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  • Physical Computation: How General are Gandy’s Principles for Mechanisms?B. Jack Copeland & Oron Shagrir - 2007 - Minds and Machines 17 (2):217-231.
    What are the limits of physical computation? In his ‘Church’s Thesis and Principles for Mechanisms’, Turing’s student Robin Gandy proved that any machine satisfying four idealised physical ‘principles’ is equivalent to some Turing machine. Gandy’s four principles in effect define a class of computing machines (‘Gandy machines’). Our question is: What is the relationship of this class to the class of all (ideal) physical computing machines? Gandy himself suggests that the relationship is identity. We do not share this view. We (...)
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  • A New Kind of Science.Stephen Wolfram - 2002 - Bulletin of Symbolic Logic 10 (1):112-114.
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  • Church Without Dogma: Axioms for Computability.Wilfried Sieg - unknown
    Church's and Turing's theses dogmatically assert that an informal notion of effective calculability is adequately captured by a particular mathematical concept of computability. I present an analysis of calculability that is embedded in a rich historical and philosophical context, leads to precise concepts, but dispenses with theses. To investigate effective calculability is to analyze symbolic processes that can in principle be carried out by calculators. This is a philosophical lesson we owe to Turing. Drawing on that lesson and recasting work (...)
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  • Computation, Information, Cognition: The Nexus and the Liminal.f.Gordana Dodig Crnkovic & Susan Stuart (eds.) - 2007 - Cambridge Scholars Press.
    Written by world-leading experts, this book draws together a number of important strands in contemporary approaches to the philosophical and scientific questions that emerge when dealing with the issues of computing, information, cognition and the conceptual issues that arise at their intersections. It discovers and develops the connections at the borders and in the interstices of disciplines and debates. This volume presents a range of essays that deal with the currently vigorous concerns of the philosophy of information, ontology creation and (...)
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  • Logic and games.Wilfrid Hodges - 2008 - Stanford Encyclopedia of Philosophy.
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  • Beyond Turing equivalence.Aaron Sloman - 1996 - In Peter Millican Andy Clark (ed.), Machines and Thought The Legacy of Alan Turing. Oxford, England: Clarendon Press. pp. 1--179.
    What is the relation between intelligence and computation? Although the difficulty of defining `intelligence' is widely recognized, many are unaware that it is hard to give a satisfactory definition of `computational' if computation is supposed to provide a non-circular explanation for intelligent abilities. The only well-defined notion of `computation' is what can be generated by a Turing machine or a formally equivalent mechanism. This is not adequate for the key role in explaining the nature of mental processes, because it is (...)
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  • Super Turing-machines.Jack Copeland - 1998 - Complexity 4 (1):30-32.
    The tape is divided into squares, each square bearing a single symbol—'0' or '1', for example. This tape is the machine's general-purpose storage medium: the machine is set in motion with its input inscribed on the tape, output is written onto the tape by the head, and the tape serves as a short-term working memory for the results of intermediate steps of the computation. The program governing the particular computation that the machine is to perform is also stored on the (...)
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  • Computation, among other things, is beneath us.Selmer Bringsjord - 1994 - Minds and Machines 4 (4):469-88.
    What''s computation? The received answer is that computation is a computer at work, and a computer at work is that which can be modelled as a Turing machine at work. Unfortunately, as John Searle has recently argued, and as others have agreed, the received answer appears to imply that AI and Cog Sci are a royal waste of time. The argument here is alarmingly simple: AI and Cog Sci (of the Strong sort, anyway) are committed to the view that cognition (...)
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  • In the Beginning was Game Semantics?Giorgi Japaridze - 2009 - In Ondrej Majer, Ahti-Veikko Pietarinen & Tero Tulenheimo (eds.), Games: Unifying Logic, Language, and Philosophy. Dordrecht, Netherland: Springer Verlag. pp. 249--350.
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  • Game-theoretical semantics: insights and prospects.Jaakko Hintikka - 1982 - Notre Dame Journal of Formal Logic 23 (2):219-241.
    The basic ideas of game-theoretical semantics are implicit in logicians' and mathematicians' folklore but used only sporadically (e.g., game quantifiers, back-and-forth methods, partly ordered quantifiers). the general suggestions of this approach for natural languages are emphasized: the univocity of "is," the failure of compositionality, a reconstruction of aristotelian categories, limitations of generative grammars, unity of sentence and discourse semantics, a new treatment of tenses and other temporal notions, etc.
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  • Beyond the universal Turing machine.B. Jack Copeland & Richard Sylvan - 1999 - Australasian Journal of Philosophy 77 (1):46-66.
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  • (1 other version)Theories looking for domains. Fact or fiction? Structuralist truth approximation by revision of the domain of intended applications, to appear.T. A. F. Kuipers - 2006 - In L. Magnani (ed.), Model Based Reasoning in Science and Engineering. College Publications.
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  • Alan Turing’s Forgotten Ideas in Computer Science.Diane Proudfoot & Jack Copeland - 1999 - Scientific American 280 (4):99-103.
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  • How does Concurrency Extend the Paradigm of Computation?Vincent Schächter - 1999 - The Monist 82 (1):37-57.
    Invariance of the class of algorithms expressible with respect to changes in computational formalism have provided extremely stable foundations for the Church-Turing thesis, according to which a number of—equivalent—computational mechanisms each fully capture the intuitive notion of algorithm. Thanks to the stability and elegance of the Church-Turing thesis, the notion of computation defined by these mechanisms is etched in stone as the theoretical essence of computation. In particular, this notion has been extensively used as an abstract tool to model natural (...)
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  • Uncomputability: the problem of induction internalized.Kevin T. Kelly - unknown
    I show that a version of Ockham’s razor (a preference for simple answers) is advantageous in both domains when infallible inference is infeasible. A familiar response to the empirical problem..
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  • New computational paradigms: changing conceptions of what is computable.S. B. Cooper, Benedikt Löwe & Andrea Sorbi (eds.) - 2008 - New York: Springer.
    Logicians and theoretical physicists will also benefit from this book.
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  • Self-Modifying Systems In Biology And Cognitive Science: A New Framework For Dynamics, Information.G. Kampis - forthcoming - And Complexity.
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  • (1 other version)Theories looking for domains. Fact or fiction? Reversing structuralist truth approximation.Theo A. F. Kuipers - unknown
    The structuralist theory of truth approximation essen-tially deals with truth approximation by theory revision for a fixed domain. However, variable domains can also be taken into account, where the main changes concern domain extensions and restrictions. In this paper I will present a coherent set of definitions of “more truth-likeness”, “empirical progress” and “truth approximation” due to a revision of the domain of intended applications. This set of definitions seems to be the natural counterpart of the basic definitions of similar (...)
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  • (1 other version)Cognitive Science.Thagard Paul - forthcoming - Stanford Encyclopedia of Philosophy.
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