Search results for 'Sr Copeland' (try it on Scholar)

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  1.  5
    Sr Copeland (1966). Mathematical Proof and Experimental Proof. Philosophy of Science 33 (4):303-.
    In studies of scientific methodology, surprisingly little attention has been given to tests of hypotheses. Such testing constitutes a methodology common to various scientific disciplines and is an essential factor in the development of science since it determines which theories are retained. The classical theory of tests is a major accomplishment but requires modification in order to produce a theory that accounts for the success of science. The revised theory is an analysis of the nondeductive aspect of scientific reasoning. It (...)
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  2.  0
    Thomas W. Copeland (1960). Book Review:The Correspondence of Edmund Burke, Vol. I. Thomas W. Copeland. [REVIEW] Ethics 70 (3):249-.
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  3.  5
    Warren R. Copeland (2009). Doing Justice in Our Cities: Lessons in Public Policy From America's Heartland. Westminster John Knox Press.
    Copeland draws from his experience of more than two decades in both city politics and as a professor of religion, and addresses head-on the issue of Christian ...
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  4.  82
    Brant S. Copeland (forthcoming). Book Review: Gathered Before God: Worship-Centered Church Renewal. [REVIEW] Interpretation 59 (4):439-439.
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  5.  42
    Shauna Copeland (2003). Double Victims: Fictional Representations of Women in the Holocaust. Inquiry 4.
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  6. B. Jack Copeland (1996). What is Computation? Synthese 108 (3):335-59.
    To compute is to execute an algorithm. More precisely, to say that a device or organ computes is to say that there exists a modelling relationship of a certain kind between it and a formal specification of an algorithm and supporting architecture. The key issue is to delimit the phrase of a certain kind. I call this the problem of distinguishing between standard and nonstandard models of computation. The successful drawing of this distinction guards Turing's 1936 analysis of computation against (...)
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  7.  45
    B. Jack Copeland (2002). Hypercomputation. Minds and Machines 12 (4):461-502.
  8.  41
    B. Jack Copeland (2000). Narrow Versus Wide Mechanism: Including a Re-Examination of Turing's Views on the Mind-Machine Issue. Journal of Philosophy 97 (1):5-33.
  9.  86
    B. Jack Copeland (2008). The Church-Turing Thesis. In Edward N. Zalta (ed.), The Stanford Encyclopedia of Philosophy. The Metaphysics Research Lab, Stanford University
    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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  10. B. Jack Copeland (2002). The Genesis of Possible Worlds Semantics. Journal of Philosophical Logic 31 (2):99-137.
    This article traces the development of possible worlds semantics through the work of: Wittgenstein, 1913-1921; Feys, 1924; McKinsey, 1945; Carnap, 1945-1947; McKinsey, Tarski and Jónsson, 1947-1952; von Wright, 1951; Becker, 1952; Prior, 1953-1954; Montague, 1955; Meredith and Prior, 1956; Geach, 1960; Smiley, 1955-1957; Kanger, 1957; Hintikka, 1957; Guillaume, 1958; Binkley, 1958; Bayart, 1958-1959; Drake, 1959-1961; Kripke, 1958-1965.
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  11. Jack Copeland (1993). Artificial Intelligence: A Philosophical Introduction. Wiley-Blackwell.
  12. B. Jack Copeland (2000). The Turing Test. Minds and Machines 10 (4):519-539.
    Turing''s test has been much misunderstood. Recently unpublished material by Turing casts fresh light on his thinking and dispels a number of philosophical myths concerning the Turing test. Properly understood, the Turing test withstands objections that are popularly believed to be fatal.
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  13.  59
    B. Jack Copeland & Oron Shagrir (2007). Physical Computation: How General Are Gandy's Principles for Mechanisms? [REVIEW] 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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  14.  9
    B. Jack Copeland & Oron Shagrir (2011). Do Accelerating Turing Machines Compute the Uncomputable? Minds and Machines 21 (2):221-239.
  15.  70
    Jack Copeland (1999). Beyond the Universal Turing Machine. 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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  16.  29
    B. Jack Copeland (1998). Turing's O-Machines, Searle, Penrose and the Brain. Analysis 58 (2):128 - 138.
  17.  6
    Ryan A. Brown, David H. Rehkopf, William E. Copeland, E. Jane Costello & Carol M. Worthman (2009). Lifecourse Priorities Among Appalachian Emerging Adults: Revisiting Wallace's Organization of Diversity. Ethos: Journal of the Society for Psychological Anthropology 37 (2):225-242.
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  18.  39
    B. Jack Copeland (2002). Accelerating Turing Machines. Minds and Machines 12 (2):281-300.
    Accelerating Turing machines are Turing machines of a sort able to perform tasks that are commonly regarded as impossible for Turing machines. For example, they can determine whether or not the decimal representation of contains n consecutive 7s, for any n; solve the Turing-machine halting problem; and decide the predicate calculus. Are accelerating Turing machines, then, logically impossible devices? I argue that they are not. There are implications concerning the nature of effective procedures and the theoretical limits of computability. Contrary (...)
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  19.  60
    Jack Copeland (1997). The Broad Conception of Computation. American Behavioral Scientist 40 (6):690-716.
    A myth has arisen concerning Turing's paper of 1936, namely that Turing set forth a fundamental principle concerning the limits of what can be computed by machine - a myth that has passed into cognitive science and the philosophy of mind, to wide and pernicious effect. This supposed principle, sometimes incorrectly termed the 'Church-Turing thesis', is the claim that the class of functions that can be computed by machines is identical to the class of functions that can be computed by (...)
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  20.  34
    B. J. Copeland (1979). On When a Semantics is Not a Semantics: Some Reasons for Disliking the Routley-Meyer Semantics for Relevance Logic. [REVIEW] Journal of Philosophical Logic 8 (1):399 - 413.
  21.  32
    Wulf Rehder, Igal Kvart, Bj Copeland, Michel V. Wedin & Howard G. Callaway (forthcoming). MJ CRESSWELL, A Canonical Model for S2 3 ROSS T. BRADY, Completeness Proofs for the Systems RM3 and BN4 9. Logique Et Analyse.
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  22.  3
    B. Jack Copeland (1998). Super Turing-Machines. Complexity 4 (1):30-32.
  23.  32
    Jack Copeland (1996). On Alan Turing's Anticipation of Connectionism. Synthese 108 (3):361-377.
    It is not widely realised that Turing was probably the first person to consider building computing machines out of simple, neuron-like elements connected together into networks in a largely random manner. Turing called his networks unorganised machines. By the application of what he described as appropriate interference, mimicking education an unorganised machine can be trained to perform any task that a Turing machine can carry out, provided the number of neurons is sufficient. Turing proposed simulating both the behaviour of the (...)
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  24.  1
    Mark E. Fenn, Richard Haeuber, Gail S. Tonnesen, Jill S. Baron, Susanne Grossman-Clarke, Diane Hope, Daniel A. Jaffe, Scott Copeland, Linda Geiser, Heather M. Rueth & James O. Sickman (2003). Nitrogen Emissions, Deposition, and Monitoring in the Western United States. BioScience 53 (4):391.
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  25.  26
    B. Jack Copeland & Diane Proudfoot (2010). Deviant Encodings and Turing's Analysis of Computability. Studies in History and Philosophy of Science Part A 41 (3):247-252.
    Turing’s analysis of computability has recently been challenged; it is claimed that it is circular to analyse the intuitive concept of numerical computability in terms of the Turing machine. This claim threatens the view, canonical in mathematics and cognitive science, that the concept of a systematic procedure or algorithm is to be explicated by reference to the capacities of Turing machines. We defend Turing’s analysis against the challenge of ‘deviant encodings’.Keywords: Systematic procedure; Turing machine; Church–Turing thesis; Deviant encoding; Acceptable encoding; (...)
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  26. B. Jack Copeland (1993). The Curious Case of the Chinese Gym. Synthese 95 (2):173-86.
    Searle has recently used two adaptations of his Chinese room argument in an attack on connectionism. I show that these new forms of the argument are fallacious. First I give an exposition of and rebuttal to the original Chinese room argument, and then a brief introduction to the essentials of connectionism.
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  27.  84
    Jack Copeland (1998). Turing's o-Machines, Searle, Penrose, and the Brain. 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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  28.  6
    S. Chopra, B. J. Copeland, E. Corazza, S. Donaho, F. Ferreira, H. Field, D. M. Gabbay, L. Goldstein, J. Heidema & M. J. Hill (2002). Benton, RA, 527 Blackburn, P., 281 Braüner, T., 359 Brink, C., 543. Journal of Philosophical Logic 31 (615).
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  29. Jack Copeland, Heather Dyke & Diane Proudfoot (2001). Temporal Parts and Their Individuation. Analysis 61 (4):289–293.
    Ignoring the temporal dimension, an object such as a railway tunnel or a human body is a three-dimensional whole composed of three-dimensional parts. The four-dimensionalist holds that a physical object exhibiting identity across time—Descartes, for example—is a four-dimensional whole composed of 'briefer' four-dimensional objects, its temporal parts. Peter van Inwagen (1990) has argued that four-dimensionalism cannot be sustained, or at best can be sustained only by a counterpart theorist. We argue that different schemes of individuation of temporal parts are available, (...)
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  30.  64
    B. J. Copeland (1985). Substitutional Quantification and Existence. Analysis 45 (1):1 - 4.
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  31.  1
    Jeremy M. Koster, Jennie J. Hodgen, Maria D. Venegas & Toni J. Copeland (2010). Is Meat Flavor a Factor in Hunters' Prey Choice Decisions? Human Nature 21 (3):219-242.
    By focusing on the caloric composition of hunted prey species, optimal foraging research has shown that hunters usually make economically rational prey choice decisions. However, research by meat scientists suggests that the gustatory appeal of wildlife meats may vary dramatically. In this study, behavioral research indicates that Mayangna and Miskito hunters in Nicaragua inconsistently pursue multiple prey types in the optimal diet set. We use cognitive methods, including unconstrained pile sorts and cultural consensus analysis, to investigate the hypothesis that these (...)
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  32.  7
    L. Bovens, T. Brauner, B. J. Copeland, C. S. Delancey, J. Dubucs, K. Fine, A. Galton, N. Georgalis, J. Gert & K. Green (2006). Kastner, RE. Synthese 150:511.
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  33. B. Jack Copeland (1995). Artificial Intelligence: A Philosophical Introduction. Cambridge: Blackwell.
  34.  31
    Jack Copeland (1998). Super Turing-Machines. 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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  35.  8
    B. J. Copeland (1980). The Trouble Anderson and Belnap Have with Relevance. Philosophical Studies 37 (4):325 - 334.
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  36.  4
    W. J. Copeland (2012). Newman's Parochial and Plain Sermons “Found a Response in the Hearts and Minds and Consciences of Those to Whom They Were Addressed.”. Newman Studies Journal 9 (2):3-5.
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  37. Jack Copeland, Even Turing Machines Can Compute Uncomputable Functions.
    Accelerated Turing machines are Turing machines that perform tasks commonly regarded as impossible, such as computing the halting function. The existence of these notional machines has obvious implications concerning the theoretical limits of computability.
     
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  38.  17
    David E. Copeland (2006). Theories of Categorical Reasoning and Extended Syllogisms. Thinking and Reasoning 12 (4):379 – 412.
    The aim of this study was to examine the predictions of three theories of human logical reasoning, (a) mental model theory, (b) formal rules theory (e.g., PSYCOP), and (c) the probability heuristics model, regarding the inferences people make for extended categorical syllogisms. Most research with extended syllogisms has been restricted to the quantifier “All” and to an asymmetrical presentation. This study used three-premise syllogisms with the additional quantifiers that are used for traditional categorical syllogisms as well as additional syllogistic figures. (...)
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  39.  4
    B. Jack Copeland & Diane Proudfoot (1996). On Alan Turing's Anticipation of Connectionism. Synthese 108 (3):361 - 377.
    It is not widely realised that Turing was probably the first person to consider building computing machines out of simple, neuron-like elements connected together into networks in a largely random manner. Turing called his networks 'unorganised machines'. By the application of what he described as 'appropriate interference, mimicking education' an unorganised machine can be trained to perform any task that a Turing machine can carry out, provided the number of 'neurons' is sufficient. Turing proposed simulating both the behaviour of the (...)
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  40.  9
    B. Jack Copeland & Richard Sylvan (1999). Beyond the Universal Turing Machine. Australasian Journal of Philosophy 77 (1):46-66.
  41.  19
    B. J. Copeland (1983). Pure Semantics and Applied Semantics. Topoi 2 (2):197-204.
  42.  75
    B. Jack Copeland (2006). Meredith, Prior, and the History of Possible Worlds Semantics. Synthese 150 (3):373 - 397.
    This paper charts some early history of the possible worlds semantics for modal logic, starting with the pioneering work of Prior and Meredith. The contributions of Geach, Hintikka, Kanger, Kripke, Montague, and Smiley are also discussed.
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  43.  51
    B. J. Copeland & D. R. Murdoch (1991). The Arthur Prior Memorial Conference. Journal of Symbolic Logic 56 (1):372-382.
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  44.  37
    Diane Proudfoot & B. Jack Copeland (1994). Turing, Wittgenstein and the Science of the Mind. Australasian Journal of Philosophy 72 (4):497 – 519.
  45. B. Jack Copeland (2003). The Chinese Room From a Logical Point of View. In John M. Preston & Michael A. Bishop (eds.), Views Into the Chinese Room: New Essays on Searle and Artificial Intelligence. Oxford University Press
     
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  46.  5
    Marion Copeland (2003). Crossover Animal Fantasy Series: Crossing Cultural and Species as Well as Age Boundaries. Society and Animals 11 (3):287-298.
    Crossover fantasy series such as Harry Potter , designed to appeal to readers of all ages, have received much popular and critical attention. Series like His Dark Materials , more sophisticated and complex than Rowling's, have benefited from Harry Potter's press. In Rowling, nonhuman animals play roles but are not foregrounded. They are not central to action or theme or, in any sense, developed characters. Pullman's books foreground nonhumans and develop their characters. His three novels, however, belong to their human (...)
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  47.  51
    Morris A. Copeland (1927). An Instrumental View of the Part-Whole Relation. Journal of Philosophy 24 (4):96-104.
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  48.  13
    B. J. Copeland (1986). What is a Semantics for Classical Negation? Mind 95 (380):478-490.
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  49.  1
    William L. Perry, Neal G. Copeland & Nancy A. Jenkins (1994). The Molecular Basis for Dominant Yellow Agouti Coat Color Mutations. Bioessays 16 (10):705-707.
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  50.  50
    B. Jack Copeland (1997). Vague Identity and Fuzzy Logic. Journal of Philosophy 94 (10):514-534.
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