Results for 'Drew V. McDermott'

974 found
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  1.  19
    Temporal data base management.Thomas L. Dean & Drew V. McDermott - 1987 - Artificial Intelligence 32 (1):1-55.
  2. Drew V. McDermott, Mind and Mechanism[REVIEW]Varol Akman - 2002 - Notre Dame Philosophical Reviews 2002 (5).
    This is a review of Drew V. McDermott, Mind and Mechanism, MIT Press, Cambridge, MA, 2001.
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  3.  11
    Mind and Mechanism, by Drew V. McDermott.Peter Carruthers - 2003 - Artificial Intelligence 151 (1-2):237-240.
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  4.  53
    Non-monotonic logic I.Drew McDermott & Jon Doyle - 1980 - Artificial Intelligence 13 (1-2):41-72.
  5. A critique of pure reason.Drew McDermott - 1987 - Computational Intelligence 3:151-60.
  6. Artificial intelligence meets natural stupidity.Drew McDermott - 1981 - In J. Haugel, Mind Design. MIT Press. pp. 5-18.
  7.  45
    A Temporal Logic for Reasoning about Processes and Plans.Drew McDermott - 1982 - Cognitive Science 6 (2):101-155.
    Much previous work in artificial intelligence has neglected representing time in all its complexity. In particular, it has neglected continuous change and the indeterminacy of the future. To rectify this, I have developed a first‐order temporal logic, in which it is possible to name and prove things about facts, events, plans, and world histories. In particular, the logic provides analyses of causality, continuous change in quantities, the persistence of facts (the frame problem), and the relationship between tasks and actions. It (...)
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  8.  15
    Causal inference in environmental sound recognition.James Traer, Sam V. Norman-Haignere & Josh H. McDermott - 2021 - Cognition 214 (C):104627.
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  9.  18
    Planning routes through uncertain territory.Drew McDermott & Ernest Davis - 1984 - Artificial Intelligence 22 (2):107-156.
  10.  33
    Planning and Acting.Drew McDermott - 1978 - Cognitive Science 2 (2):71-100.
    A new theory of problem solving is presented, which embeds problem solving in the theory of action; in this theory, a problem is just a difficult action. Making this work requires a sophisticated language for‐talking about plans and their execution. This language allows a broad range of types of action, and can also be used to express rules for choosing and scheduling plans. To ensure flexibility, the problem solver consists of an interpreter driven by a theorem prover which actually manipulates (...)
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  11. Artificial intelligence and consciousness.Drew McDermott - 2007 - In Morris Moscovitch, Philip Zelazo & Evan Thompson, Cambridge Handbook of Consciousness. New York: Cambridge University Press. pp. 117--150.
  12.  52
    What matters to a machine.Drew McDermott - 2011 - In Michael Anderson & Susan Leigh Anderson, Machine Ethics. Cambridge Univ. Press. pp. 88--114.
  13. We've been framed: Or, why AI is innocent of the frame problem.Drew McDermott - 1987 - In Zenon W. Pylyshyn, The Robot's Dilemma: The Frame Problem in Artificial Intelligence. Ablex.
     
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  14.  15
    Using regression-match graphs to control search in planning.Drew McDermott - 1999 - Artificial Intelligence 109 (1-2):111-159.
  15.  69
    Tarskian semantics, or no notation without denotation.Drew McDermott - 1978 - Cognitive Science 2 (3):277-82.
  16.  40
    Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
  17.  71
    Response to The Singularity by David Chalmers.Drew McDermott - 2012 - Journal of Consciousness Studies 19 (1-2):1-2.
  18.  23
    A general framework for reason maintenance.Drew McDermott - 1991 - Artificial Intelligence 50 (3):289-329.
  19.  35
    Dodging the explanatory gap–or bridging it.Drew McDermott - 2007 - Behavioral and Brain Sciences 30 (5-6):518-518.
    Assuming our understanding of the brain continues to advance, we will at some point have a computational theory of how access consciousness works. Block's supposed additional kind of consciousness will not appear in this theory, and continued belief in it will be difficult to sustain. Appeals to to experience such-and-such will carry little weight when we cannot locate a subject for whom it might be like something.
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  20.  11
    Level-headed.Drew McDermott - 2007 - Artificial Intelligence 171 (18):1183-1186.
  21. What does a Sloman want?Drew Mcdermott - 2010 - International Journal of Machine Consciousness 2 (1):51-53.
  22.  56
    Computation and consciousness.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):676-678.
  23.  29
    Minds, brains, programs, and persons.Drew McDermott - 1982 - Behavioral and Brain Sciences 5 (2):339-341.
  24.  20
    Planning: What it is, what it could be, an introduction to the special issue on planning and scheduling.Drew McDermott & James Hendler - 1995 - Artificial Intelligence 76 (1-2):1-16.
  25.  49
    Erratum: "What does a Sloman want?".Drew Mcdermott - 2010 - International Journal of Machine Consciousness 2 (2):385-385.
  26.  42
    A little static for the dynamicists review of Shanahan.Drew Mcdermott - 2011 - International Journal of Machine Consciousness 3 (02):361-365.
  27.  36
    A vehicle with no wheels.Drew McDermott - 1999 - Behavioral and Brain Sciences 22 (1):161-161.
    O'Brien & Opie's theory fails to address the issue of consciousness and introspection. They take for granted that once something is experienced, it can be commented on. But introspection requires neural structures that, according to their theory, have nothing to do with experience as such. That makes the tight coupling between the two in humans a mystery.
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  28.  11
    Building large knowledge-based systems: Representation and inference in the cyc project.Drew McDermott - 1993 - Artificial Intelligence 61 (1):53-63.
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  29.  12
    Free at last! Free at last! Thank evolution, free at last!Drew McDermott - 2005 - Artificial Intelligence 169 (2):165-173.
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  30. How intelligent is deep blue?Drew McDermott - 1997 - New York Times (May) 14.
  31.  29
    Kurzweil's argument for the success of AI.Drew McDermott - 2006 - Artificial Intelligence 170 (18):1227-1233.
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  32.  32
    Little “me”.Drew McDermott - 1992 - Behavioral and Brain Sciences 15 (2):217-218.
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  33.  10
    Reply to Carruthers and Akman.Drew McDermott - 2003 - Artificial Intelligence 151 (1-2):241-245.
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  34.  35
    [Star] Penrose is wrong.Drew McDermott - 1995 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 2:66-82.
  35.  69
    The digital computer as red Herring.Drew McDermott - 2001 - Psycoloquy 12 (54).
    Stevan Harnad correctly perceives a deep problem in computationalism, the hypothesis that cognition is computation, namely, that the symbols manipulated by a computational entity do not automatically mean anything. Perhaps, he proposes, transducers and neural nets will not have this problem. His analysis goes wrong from the start, because computationalism is not as rigid a set of theories as he thinks. Transducers and neural nets are just two kinds of computational system, among many, and any solution to the semantic problem (...)
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  36.  41
    Zombies are people, too.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):617-618.
  37.  35
    Nonmonotonic logic and temporal projection.Steve Hanks & Drew McDermott - 1987 - Artificial Intelligence 33 (3):379-412.
  38.  66
    Review of Aristotle's Laptop: The Discovery of Our Informational Mind by Igor Aleksander and Helen Morton. [REVIEW]Drew McDermott - 2014 - International Journal of Machine Consciousness 6 (1):45-48.
    Drew McDermott, Int. J. Mach. Conscious., 06, 45 (2014). DOI: 10.1142/S1793843014400071.
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  39.  15
    Modeling a dynamic and uncertain world I.Steve Hanks & Drew McDermott - 1994 - Artificial Intelligence 66 (1):1-55.
  40.  11
    Problems in formal temporal reasoning.Yoav Shoham & Drew McDermott - 1988 - Artificial Intelligence 36 (1):49-61.
  41.  31
    Horace, Epodes V. 49·82.D. L. Drew - 1923 - The Classical Review 37 (1-2):24-25.
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  42.  29
    Foucault and the Madness of Classifying our Madness.Drew Ninnis - 2016 - Foucault Studies 21:117-137.
    This paper notes the re-ignited controversy surrounding the publication of a new edition of the Diagnostic and Statistical Manual of Mental Disorders, suggesting that the early work of Michel Foucault can explain why the mere diagnosis of or criteria for mental illness remains a heated flashpoint. In particular, it argues that Foucault articulates a common issue within the philosophical foundations of psychiatry and psychology that the paper terms the ‘subjectivity problem.’ It observes, using Foucault’s work, that these disciplines treat not (...)
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  43.  40
    Homeric ΔΙΙΠΕΤΕΟΣΠΟΤΑΜΟΙΟand the Celestial Nile.R. Drew Griffith - 1997 - American Journal of Philology 118 (3):353-362.
    In lieu of an abstract, here is a brief excerpt of the content:Homeric ΔΙΙΠΕΤΕΟΣΠΟΤΑΜΟΙΟand the Celestial NileR. Drew GriffithHomeric διιπετής, which occurs only in the verse–end formula διιπετέος (Il. 16.174, 17.263, 21.268, 326; Od. 4.477, 581, 7.284; cf. Hes. fr. 320 Merkelbach–West), is usually interpreted as "fallen from Zeus, i.e., from heaven,... fed or swollen by rain" (LSJ),1 for high–thundering, cloud–gatherer Zeus is the sky who rains and snows (Il. 12.25; Od. 9.111, 14.457, Alc. Z 14.1 Lobel–Page 5 338.1 (...)
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  44.  41
    Homeric and the Celestial Nile.R. Drew Griffith - 1997 - American Journal of Philology 118 (3):353-362.
    In lieu of an abstract, here is a brief excerpt of the content:Homeric ΔΙΙΠΕΤΕΟΣΠΟΤΑΜΟΙΟand the Celestial NileR. Drew GriffithHomeric διιπετής, which occurs only in the verse–end formula διιπετέος (Il. 16.174, 17.263, 21.268, 326; Od. 4.477, 581, 7.284; cf. Hes. fr. 320 Merkelbach–West), is usually interpreted as "fallen from Zeus, i.e., from heaven,... fed or swollen by rain" (LSJ),1 for high–thundering, cloud–gatherer Zeus is the sky who rains and snows (Il. 12.25; Od. 9.111, 14.457, Alc. Z 14.1 Lobel–Page 5 338.1 (...)
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  45.  70
    Book Review Section 1. [REVIEW]Brian J. Spittle, Samuel M. Vinocur, Virginia Underwood, Robert L. Leight, L. Glenn Smith, Harold M. Bergsma, Robert H. Graham, William M. Bart, George D. Dalin, Lyle S. Maynard, Fred Drewe, Theodore Hutchcroft, Francesco Cordasco, Frank Andrews Stone, Roy R. Nasstrom, Edward B. Goellner, Margaret Gillett, Robert E. Belding, Kenneth V. Lottich & Arden W. Holland - 1981 - Educational Studies 12 (4):431-459.
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  46.  28
    John J. McDermott , The Drama of Possibility: Experience as Philosophy of Culture (New York: Fordham University Press, 2007), ISBN: 978-0823226634. [REVIEW]Sylvia V. Morin - 2009 - Foucault Studies 7:178-184.
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  47.  33
    Book Review: Drew Dalton, The Ethics of Resistance: Tyranny of the Absolute , pp. 154. [REVIEW]I. V. H. A. Nethery - 2019 - Journal of French and Francophone Philosophy 27 (1):100-104.
    A review of Drew Dalton, The Ethics of Resistance: Tyranny of the Absolute, pp. 154.
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  48.  45
    Eusebius of Caesarea’s Un-Platonic Platonic Political Theology.V. Bradley Lewis - 2017 - Polis 34 (1):94-114.
    Eusebius of Caesarea drew heavily on pagan philosophy in developing the first Christian political theology. His quotations from Plato’s most political work, the Laws, are so extensive that they are treated as a manuscript authority by modern editors. Yet Eusebius’s actual use of the Laws is oddly detached from Plato’s own political intentions in that work, adapting it to a model of philosophical kingship closer to the Republic and applied to the emperor Constantine. For Eusebius the Laws mainly shows (...)
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  49.  33
    Peacemaking, edited by Gerard F. Powers, Drew Christiansen S.J., and Robert T. Hennemeyer , 368 pp., $19.95, paper; For Peace in God's World , 24 pp. [REVIEW]Dorothy V. Jones - 1996 - Ethics and International Affairs 10:214-215.
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  50.  67
    Centers and peripheries: The development of British physiology, 1870?1914.Stella V. F. Butler - 1988 - Journal of the History of Biology 21 (3):473-500.
    By 1910 the Cambridge University physiology department had become the kernel of British physiology. Between 1909 and 1914 an astonishing number of young and talented scientists passed through the laboratory. The University College department was also a stimulating place of study under the dynamic leadership of Ernest Starling.I have argued that the reasons for this metropolitan axis within British physiology lie with the social structure of late-Victorian and Edwardian higher education. Cambridge, Oxford, and University College London were national institutions attracting (...)
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