Results for 'Drew Mcdermott'

999 found
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  1. What does a Sloman want?Drew Mcdermott - 2010 - International Journal of Machine Consciousness 2 (1):51-53.
  2.  40
    Erratum: "What does a Sloman want?".Drew Mcdermott - 2010 - International Journal of Machine Consciousness 2 (2):385-385.
  3.  31
    Nonmonotonic logic and temporal projection.Steve Hanks & Drew McDermott - 1987 - Artificial Intelligence 33 (3):379-412.
  4.  29
    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.  8
    Temporal data base management.Thomas L. Dean & Drew V. McDermott - 1987 - Artificial Intelligence 32 (1):1-55.
  7. Artificial intelligence meets natural stupidity.Drew McDermott - 1981 - In J. Haugel (ed.), Mind Design. MIT Press. pp. 5-18.
  8.  30
    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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  9.  5
    Planning routes through uncertain territory.Drew McDermott & Ernest Davis - 1984 - Artificial Intelligence 22 (2):107-156.
  10.  15
    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.  4
    Modeling a dynamic and uncertain world I.Steve Hanks & Drew McDermott - 1994 - Artificial Intelligence 66 (1):1-55.
  12. Artificial intelligence and consciousness.Drew McDermott - 2007 - In Philip David Zelazo, Morris Moscovitch & Evan Thompson (eds.), Cambridge Handbook of Consciousness. Cambridge: Cambridge University Press. pp. 117--150.
  13.  45
    What matters to a machine.Drew McDermott - 2011 - In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press. pp. 88--114.
  14.  2
    Using regression-match graphs to control search in planning.Drew McDermott - 1999 - Artificial Intelligence 109 (1-2):111-159.
  15. We've been framed: Or, why AI is innocent of the frame problem.Drew McDermott - 1987 - In Zenon W. Pylyshyn (ed.), The Robot's Dilemma. Ablex.
     
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  16.  52
    Tarskian semantics, or no notation without denotation.Drew McDermott - 1978 - Cognitive Science 2 (3):277-82.
  17.  2
    Problems in formal temporal reasoning.Yoav Shoham & Drew McDermott - 1988 - Artificial Intelligence 36 (1):49-61.
  18.  22
    Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
  19.  56
    Response to The Singularity by David Chalmers.Drew McDermott - 2012 - Journal of Consciousness Studies 19 (1-2):1-2.
  20.  12
    A general framework for reason maintenance.Drew McDermott - 1991 - Artificial Intelligence 50 (3):289-329.
  21.  25
    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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  22.  6
    Level-headed.Drew McDermott - 2007 - Artificial Intelligence 171 (18):1183-1186.
  23.  40
    Computation and consciousness.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):676-678.
  24.  19
    Minds, brains, programs, and persons.Drew McDermott - 1982 - Behavioral and Brain Sciences 5 (2):339-341.
  25.  13
    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.
  26.  29
    A little static for the dynamicists review of Shanahan.Drew Mcdermott - 2011 - International Journal of Machine Consciousness 3 (02):361-365.
  27.  23
    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.  2
    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.  6
    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.  12
    Kurzweil's argument for the success of AI.Drew McDermott - 2006 - Artificial Intelligence 170 (18):1227-1233.
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  32.  23
    Little “me”.Drew McDermott - 1992 - Behavioral and Brain Sciences 15 (2):217-218.
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  33.  4
    Reply to Carruthers and Akman.Drew McDermott - 2003 - Artificial Intelligence 151 (1-2):241-245.
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  34.  20
    [Star] Penrose is wrong.Drew McDermott - 1995 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 2:66-82.
  35.  56
    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.  22
    Zombies are people, too.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):617-618.
  37.  54
    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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  38. 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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  39.  3
    Mind and Mechanism, by Drew V. McDermott.Peter Carruthers - 2003 - Artificial Intelligence 151 (1-2):237-240.
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  40. Reading McDermott[REVIEW]Varol Akman - 2003 - Artificial Intelligence 151 (1-2):227-235.
    [This is a review of: Drew McDermott, Mind and Mechanism, MIT Press, Cambridge, MA, 2001.] -/- The author is interested in computational approaches to consciousness. His reason for working in the field of AI is to solve the mind-body problem, that is, to understand how the brain can have experiences. This is an intricate project because it involves elucidation of the relationship between our mentality and its physical foundation. How can a biological/chemical system (the human body) have experiences, (...)
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  41.  5
    The culture of experience: philosophical essays in the American grain.John J. McDermott - 1976 - New York: New York University Press.
  42.  13
    Buddhist Philosophy in Theory and Practice.Agnes Charlene Senape McDermott - 1973 - Philosophy East and West 23 (3):400-401.
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  43.  25
    The Warburg effect then and now: From cancer to inflammatory diseases.Eva M. Palsson‐McDermott & Luke Aj O'neill - 2013 - Bioessays 35 (11):965-973.
    Inflammatory immune cells, when activated, display much the same metabolic profile as a glycolytic tumor cell. This involves a shift in metabolism away from oxidative phosphorylation towards aerobic glycolysis, a phenomenon known as the Warburg effect. The result of this change in macrophages is to rapidly provide ATP and metabolic intermediates for the biosynthesis of immune and inflammatory proteins. In addition, a rise in certain tricarboxylic acid cycle intermediates occurs notably in citrate for lipid biosynthesis, and succinate, which activates the (...)
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  44.  18
    An Eleventh-Century Buddhist Logic of ‘Exists’: Ratnakīrti’s Kṣaṇabhaṅgasiddhiḥ Vyatirekātmikā.Agnes Charlene Senape McDermott - 1969 - Dordrecht, Netherland: Springer.
    I. RATNAKIRTI. HIS PHILOSOPHICAL CONGENERS AND ADVERSARIES Ratnakirti flourished early in the 11th century A.D. at the University of Vi kramasila, a member of the Yogacara-Vijnanavada school oflate Buddhist philosophy. Thakur characterizes Ratnakirti's writing as "more concise and logical though not so poetical" 1 as that of his guru, Jfianasrimitra, two of 2 whose dicta are focal points of the present work. From a translogical or absolute point of view, Ratnakirti endorses a form of 3 solipsistic idealism. The Sarhtdndntaradu$alJa, his (...)
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  45. The Absent Body.Drew Leder - 1990 - University of Chicago Press.
    We are even less aware of our internal organs and the physiological processes that keep us alive. In this fascinating work, Drew Leder examines all the ways in which the body is absent—forgotten, alien, uncontrollable, obscured.
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  46.  27
    Pratītyasamutpd́: Towards a structuralist analysis.Agnes Charlene Senape McDermott - 1981 - Journal of Chinese Philosophy 8 (4):437-449.
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  47.  62
    Poverty, Patriotism, and National Covenant: Jonathan Edwards and Public Life.Gerald R. McDermott - 2003 - Journal of Religious Ethics 31 (2):229 - 251.
    In this essay I address three ways in which Edwards can inform Christian understanding of public life. First I show how Edwards provides both philosophical and theological rationales for social engagement and thereby resists the separation of religion from public life, and use his consideration of poverty as an illustration. Part II examines Edwards's dialectical treatment of patriotism, demonstrating both its importance to the Christian life and its susceptibility to deceptive accommodation to culture. Finally, in Part III I discuss Edwards's (...)
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  48.  92
    Beginnings and Ends: Somethoughts On Thomas Aquinas, Virtue and Emotions.Timothy McDermott - 1999 - Studies in Christian Ethics 12 (1):35-47.
  49. Deep Disagreement, Hinge Commitments, and Intellectual Humility.Drew Johnson - 2022 - Episteme 19 (3):353-372.
    Why is it that some instances of disagreement appear to be so intractable? And what is the appropriate way to handle such disagreements, especially concerning matters about which there are important practical and political needs for us to come to a consensus? In this paper, I consider an explanation of the apparent intractability of deep disagreement offered by hinge epistemology. According to this explanation, at least some deep disagreements are rationally unresolvable because they concern ‘hinge’ commitments that are unresponsive to (...)
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  50.  31
    The Bursts and Lulls of Multimodal Interaction: Temporal Distributions of Behavior Reveal Differences Between Verbal and Non‐Verbal Communication.Drew H. Abney, Rick Dale, Max M. Louwerse & Christopher T. Kello - 2018 - Cognitive Science 42 (4):1297-1316.
    Recent studies of naturalistic face‐to‐face communication have demonstrated coordination patterns such as the temporal matching of verbal and non‐verbal behavior, which provides evidence for the proposal that verbal and non‐verbal communicative control derives from one system. In this study, we argue that the observed relationship between verbal and non‐verbal behaviors depends on the level of analysis. In a reanalysis of a corpus of naturalistic multimodal communication (Louwerse, Dale, Bard, & Jeuniaux, ), we focus on measuring the temporal patterns of specific (...)
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