Results for 'John Grant McKenzie'

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  1.  4
    Nervous Disorders and Character: A Study in Pastoral Psychology and Psychotherapy.John Grant McKenzie - 1999 - Routledge.
    First published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.
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  2.  4
    Psychology, psychotherapy and evangelicalism.John Grant McKenzie - 1940 - London,: Allen & Unwin.
    Originally published in 1940, this is a contribution to the better understanding of Evangelical experience and doctrine. It is the author’s belief that the application of psychology to religion in general can make little or no further advance except through the study of particular types of religious experience. The various psychotherapeutic techniques provide the means for such a study, and in this volume they are applied to Evangelicalism. At first the author attempts to justify this application to Evangelical experience and (...)
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  3.  20
    Speed factory: #1-14.John Kinsella & Mckenzie Wark - 1999 - Angelaki 4 (3):191-196.
  4.  22
    A Study of State Social Studies Coordinators' Views of the Common Core.Kathy Swan, John Lee & S. G. Grant - 2016 - Journal of Social Studies Research 40 (4):263-279.
    This study focused on the state-level implementation of the Common Core English Language Arts (CC-ELA) standards and the implications for state education department personnel in social studies. Researchers employed a mixed methods approach to data collection and analysis asking the following research questions: (1) How do state-level social studies coordinators understand the obligations and implications of the CC-ELA standards for social studies? and (2) What benefits and challenges do they anticipate the CC-ELA standards offer to social studies educators? Findings from (...)
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  5.  22
    Classifications for inconsistent theories.John Grant - 1978 - Notre Dame Journal of Formal Logic 19 (3):435-444.
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  6.  37
    Book Reviews Section 4.E. Paul Torrance, John Walton, Calvin O. Dyer, Virgil S. Ward, Weldon Beckner, Manouchehr Pedram, William M. Alexander, Herman J. Peters, James B. Macdonald, Samuel E. Kellams, Walter L. Hodges, Gary R. Mckenzie, Robert E. Jewett, Doris A. Trojcak, H. Parker Blount, George I. Brown, Lucile Lindberg, James C. Baughman, Patricia H. Dahl, S. Jay Samuels & Christopher J. Lucas - 1972 - Educational Studies 3 (4):239-255.
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  7.  9
    Hindu Ethics: A Historical and Critical Essay.John McKenzie - 1922 - London, New York [etc.]: Martino.
    This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
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  8. Dictionary of the Bible.John L. McKenzie - 1965
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  9.  7
    Relative inconsistency measures.Philippe Besnard & John Grant - 2020 - Artificial Intelligence 280 (C):103231.
  10.  10
    Introduction.John E. Drabinski & Grant Farred - 2015 - Critical Philosophy of Race 3 (2):175-179.
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  11.  3
    Imcomplete models.John Grant - 1974 - Notre Dame Journal of Formal Logic 15 (4):601-607.
  12. Revelation.Grant R. Osborne & John R. Yeatts - 2002
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  13. What we owe to decision-subjects: beyond transparency and explanation in automated decision-making.David Gray Grant, Jeff Behrends & John Basl - 2023 - Philosophical Studies 2003:1-31.
    The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely discussed, the way that those systems arrive at their outputs is often opaque, even to the experts (...)
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  14.  16
    Hindu ethics.John McKenzie - 1971 - New Delhi,: Oriental Books Reprint Corp.; exclusively distributed by Munshiram Manoharlal.
    This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
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  15.  28
    Abstraction in St. Thomas.John L. McKenzie - 1934 - Modern Schoolman 11 (4):75-76.
  16. Myths and Realities: Studies in Biblical Theology.John L. McKenzie - 1963
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  17.  24
    Mr. Demos on Non-Being.John L. McKenzie - 1934 - Modern Schoolman 11 (2):39-41.
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  18.  17
    Participant skepticism: If you can't beat it, model it.Craig R. M. McKenzie & John T. Wixted - 2001 - Behavioral and Brain Sciences 24 (3):424-425.
    For a variety of reasons, including the common use of deception in psychology experiments, participants often disbelieve experimenters' assertions about important task parameters. This can lead researchers to conclude incorrectly that participants are behaving non- normatively. The problem can be overcome by deriving and testing normative models that do not assume full belief in key task parameters. A real experimental example is discussed.
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  19.  31
    Relation between confidence in yes–no and forced-choice tasks.Craig R. M. McKenzie, John T. Wixted, David C. Noelle & Gohar Gyurjyan - 2001 - Journal of Experimental Psychology: General 130 (1):140.
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  20.  17
    Socrates.John L. McKenzie - 1934 - Modern Schoolman 11 (2):46-47.
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  21.  21
    St. Augustine.John L. McKenzie - 1933 - Modern Schoolman 11 (1):21-22.
  22.  52
    Theology in Jesuit Education.John L. McKenzie - 1959 - Thought: Fordham University Quarterly 34 (3):347-357.
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  23.  32
    The Lure of God.John L. McKenzie - 1977 - Process Studies 7 (4):264-269.
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  24. The Old Testament: its Background, Growth, and Content.Stephen L. McKenzie & John Kaltner - 2007
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  25. The Old Testament without Illusions.John L. McKenzie - 1979
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  26. The Power and the Wisdom: An Interpretation of the New Testament.John L. McKenzie - 1965
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  27. The Two-Edged Sword: An Interpretation of the Old Testament.John L. McKenzie - 1956
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  28. The World of the Judges.John L. McKenzie - 1966
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  29.  11
    Wisdom Hath Built Herself a House.John L. McKenzie - 1935 - Modern Schoolman 13 (2):28-30.
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  30. Moral responsibility, consciousness and psychiatry.John McMillan & Grant R. Gillett - 2005 - Australian and New Zealand Journal of Psychiatry 39 (11):1018-1021.
  31.  16
    Measuring Inconsistency in Some Logics with Modal Operators.John Grant - 2020 - Studia Logica 109 (3):581-605.
    The first mention of the concept of an inconsistency measure for sets of formulas in first-order logic was given in 1978, but that paper presented only classifications for them. The first actual inconsistency measure with a numerical value was given in 2002 for sets of formulas in propositional logic. Since that time, researchers in logic and AI have developed a substantial theory of inconsistency measures. While this is an interesting topic from the point of view of logic, an important motivation (...)
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  32.  8
    Corrigendum to my paper: "Recognizable algebras of formulas".John Grant - 1975 - Notre Dame Journal of Formal Logic 16 (1):132-132.
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  33.  2
    Recognizable algebras of formulas.John Grant - 1972 - Notre Dame Journal of Formal Logic 13 (4):521-526.
  34.  6
    Analysing inconsistent first-order knowledgebases.John Grant & Anthony Hunter - 2008 - Artificial Intelligence 172 (8-9):1064-1093.
  35. Consent as Empowerment: The Roles of Postmodern and Narrative Ethics.John Mcmillan & Grant Gillett - 2002 - In K. W. M. Fulford, Donna Dickenson & Thomas H. Murray (eds.), Healthcare Ethics and Human Values: An Introductory Text with Readings and Case Studies. Blackwell.
     
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  36.  14
    Measuring inconsistency in some branching time logics.John Grant - 2021 - Journal of Applied Non-Classical Logics 31 (2):85-107.
    Branching time logics have been studied in computer science since the 1980s primarily to model the tree of computations for discrete transition systems. Inconsistency measures for propositional log...
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  37.  24
    Book Review Section 5. [REVIEW]John T. Abrahamson, David R. Kniefel, Edward J. Nussel, Thomas G. James, Harry Wagschal, Marvin Willerman, Jerome J. Salamone, Conrad Katzenmeyer, Robert B. Grant & Alan H. Jones - unknown
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  38.  18
    On the critique of political imaginaries.John Grant - 2014 - European Journal of Political Theory 13 (4):408-426.
    Over the past decade there has been a remarkable expansion in the use of ‘imaginaries’ as a guiding concept in and beyond political theory. But the proliferation of this term has gone largely unchecked by critical investigations into its deployment. To correct this I address the work of Charles Taylor, Michael Warner and Chiara Bottici, each of whom has written influential texts on imaginaries and the sites of imaginaries. Interestingly, their reliance on imaginaries does not compel them to do away (...)
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  39.  22
    Measuring inconsistency in information.John Grant & Maria Vanina Martinez (eds.) - 2018 - [London]: College Publications.
    The concept of measuring inconsistency in information was developed by John Grant in a 1978 paper in the context of first-order logic. For more than 20 years very little was done in this area until in the early 2000s a number of AI researchers started to formulate new inconsistency measures primarily in the context of propositional logic knowledge bases. The aim of this volume is to survey what has been done so far, to expand inconsistency measurement to other (...)
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  40.  32
    Measuring Inconsistency in Generalized Propositional Logic.John Grant - 2020 - Logica Universalis 14 (3):331-356.
    Consistency is one of the key concepts of logic; logicians have put a great deal of effort into proving the consistency of many logics. Understanding what causes inconsistency is also important; some logicians have developed paraconsistent logics that, unlike classical logics, allow some contradictions without making all formulas provable. Another direction of research studies inconsistency by measuring the amount of inconsistency of sets of formulas. While the initial attempt in 1978 was too ambitious in trying to do this for first-order (...)
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  41. Active logic semantics for a single agent in a static world.Michael Anderson, Walid Gomaa, John Grant & Don Perlis - manuscript
    Artificial Intelligence, in press. Abstract: For some time we have been developing, and have had significant practical success with, a time-sensitive, contradiction-tolerant logical reasoning engine called the active logic machine (ALMA). The current paper details a semantics for a general version of the underlying logical formalism, active logic. Central to active logic are special rules controlling the inheritance of beliefs in general (and of beliefs about the current time in particular), very tight controls on what can be derived from direct (...)
     
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  42. On the reasoning of real-world agents: Toward a semantics for active logic.Michael L. Anderson, John Grant & Don Perlis - unknown
    The current paper details a restricted semantics for active logic, a time-sensitive, contradictiontolerant logical reasoning formalism. Central to active logic are special rules controlling the inheritance of beliefs in general, and beliefs about the current time in particular, very tight controls on what can be derived from direct contradictions (P &¬P ), and mechanisms allowing an agent to represent and reason about its own beliefs and past reasoning. Using these ideas, we introduce a new definition of model and of logical (...)
     
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  43.  10
    An AGM-style belief revision mechanism for probabilistic spatio-temporal logics.John Grant, Francesco Parisi, Austin Parker & V. S. Subrahmanian - 2010 - Artificial Intelligence 174 (1):72-104.
  44.  43
    A preference model for choice subject to surprise.Simon Grant & John Quiggin - 2015 - Theory and Decision 79 (2):167-180.
    Grant and Quiggin suggest that agents employ heuristics to constrain the set of acts under consideration before applying standard decision theory, based on their restricted model of the world to the remaining acts. The aim of this paper is to provide an axiomatic foundation, and an associated representation theorem, for the preference model proposed by Grant and Quiggin. The unawareness of the agent is encoded both in the specification of the states and in an elaboration of the set (...)
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  45.  11
    Postulate satisfaction for inconsistency measures in monotonic logics and databases.John Grant - 2023 - Journal of Applied Non-Classical Logics 33 (3):537-560.
    1. Although the idea of measuring inconsistency was proposed in Grant (1978), the subject gained interest in 2002 with the publication of a proposal for measuring inconsistency in propositional kno...
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  46. Consciousness and Intentionality.Grant Gillett & John McMillan - 2001 - John Benjamins.
    This book considers questions such as these and argues for a conception of consciousness, mental content and intentionality that is anti-Cartesian in its major...
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  47.  17
    Asymmetry – where evolutionary and developmental genetics meet.Philip Batterham, Andrew G. Davies, Anne Y. Game & John A. McKenzie - 1996 - Bioessays 18 (10):841-845.
    The mechanisms responsible for the fine tuning of development, where the wildtype phenotype is reproduced with high fidelity, are not well understood. The difficulty in approaching this problem is the identification of mutant phenotypes indicative of a defect in these fine‐tuning control mechanisms. Evolutionary biologists have used asymmetry as a measure of developmental homeostasis. The rationale for this was that, since the same genome controls the development of the left and right sides of a bilaterally symmetrical organism, departures from symmetry (...)
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  48.  30
    Acquisition and extinction of a verbal conditioned response with differing percentages of reinforcement.David A. Grant, Harold W. Hake & John P. Hornseth - 1951 - Journal of Experimental Psychology 42 (1):1.
  49.  85
    Applications of paraconsistency in data and knowledge bases.John Grant & V. S. Subrahmanian - 2000 - Synthese 125 (1-2):121-132.
    The study of paraconsistent logic as a branch of mathematics and logic has been pioneered by Newton da Costa. With the growing advent of distributed and often inconsistent databases over the last ten years, there has been growing interest in paraconsistency amongst researchers in databases and knowledge bases. In this paper, we provide a brief survey of work in paraconsistent databases and knowledge bases affected by Newton da Costa's important and lasting contributions to the field.
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  50.  31
    Manipulating Games by Sharing Information.John Grant, Sarit Kraus, Michael Wooldridge & Inon Zuckerman - 2014 - Studia Logica 102 (2):267-295.
    We address the issue of manipulating games through communication. In the specific setting we consider (a variation of Boolean games), we assume there is some set of environment variables, the values of which are not directly accessible to players; the players have their own beliefs about these variables, and make decisions about what actions to perform based on these beliefs. The communication we consider takes the form of (truthful) announcements about the values of some environment variables; the effect of an (...)
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