Results for 'William J. Clancey'

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  1.  10
    Heuristic classification.William J. Clancey - 1985 - Artificial Intelligence 27 (3):289-350.
  2.  11
    The epistemology of a rule-based expert system —a framework for explanation.William J. Clancey - 1983 - Artificial Intelligence 20 (3):215-251.
  3.  5
    Acción situada: una interpretación neurosicológica. Respuesta a Vera y Simon.William J. Clancey - 1993 - Cognitive Science 17 (1):87-116.
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  4.  20
    Situated Action: A Neuropsychological Interpretation Response to Vera and Simon.William J. Clancey - 1993 - Cognitive Science 17 (1):87-116.
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  5.  5
    Model construction operators.William J. Clancey - 1992 - Artificial Intelligence 53 (1):1-115.
  6.  13
    Working on Mars: Voyages of Scientific Discovery with the Mars Exploration Rovers.William J. Clancey - 2012 - MIT Press.
    The MER created a virtual experience of being on Mars. This book examines how the MER has changed the nature of planetary field science.
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  7.  8
    The invention of memory: A new view of the brain.William J. Clancey - 1991 - Artificial Intelligence 50 (2):241-284.
  8.  6
    Notes on “Epistemology of a rule-based expert system”.William J. Clancey - 1993 - Artificial Intelligence 59 (1-2):197-204.
  9.  3
    Artificial intelligence and learning environments: Preface.William J. Clancey & Elliot Soloway - 1990 - Artificial Intelligence 42 (1):1-6.
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  10.  53
    The biology of consciousness: Comparative review of Rosenfield and Edelman.William J. Clancey - 1993 - Artificial Intelligence 60 (2):313-356.
  11.  17
    The Newell test should commit to diagnosing dysfunctions.William J. Clancey - 2003 - Behavioral and Brain Sciences 26 (5):604-605.
    “Conceptual coordination” analysis bridges connectionism and symbolic approaches by positing a “process memory” by which categories are physically coordinated in time. Focusing on dysfunctions and odd behaviors, like slips, reveals the function of consciousness, especially constructive processes that are often taken for granted, which are different from conventional programming constructs. Newell strongly endorsed identifying architectural limits; the heuristic of “diagnose unusual behaviors” will provide targets of opportunity that greatly strengthen the Newell Test.
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  12.  23
    Modeling the perceptual component of conceptual learning—a coordination perspective.William J. Clancey - 2005 - In Peter Gardenfors, Petter Johansson & N. J. Mahwah (eds.), Cognition, Education, and Communication Technology. Erlbaum Associates. pp. 109--146.
  13.  17
    Relating modes of thought.William J. Clancey - 2011 - In Thomas Bartscherer (ed.), Switching Codes. Chicago University Press. pp. 161.
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  14.  31
    How anchors allow reusing categories in neural composition of sentences.William J. Clancey - 2006 - Behavioral and Brain Sciences 29 (1):73-74.
    van der Velde's &de Kamps's neural blackboard architecture is similar to “activation trace diagrams” (Clancey 1999), which represent how categories are temporally related as neural activations in parallel-hierarchical compositions. Examination of other comprehension examples suggests that a given syntactic categorization (structure assembly) can be incorporated in different ways within an open composition by different kinds of anchoring relations (delay assemblies). Anchors are categorizations, too, so they cannot be reused until their containing construction is completed (bindings are resolved).
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  15.  45
    Conceptual coordination bridges information processing and neurophysiology.William J. Clancey - 2000 - Behavioral and Brain Sciences 23 (6):919-922.
    Information processing theories of memory and skills can be reformulated in terms of how categories are physically and temporally related, a process called conceptual coordination. Dreaming can then be understood as a story-understanding process in which two mechanisms found in everyday comprehension are missing: conceiving sequences (chunking categories in time as a higher-order categorization) and coordinating across modalities (e.g., relating the sound of a word and the image of its meaning). On this basis, we can readily identify isomorphisms between dream (...)
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  16.  11
    Functional principles and situated problem solving.William J. Clancey - 1987 - Behavioral and Brain Sciences 10 (3):479-480.
  17.  3
    Understanding computers and cognition: A new foundation for design.William J. Clancey - 1987 - Artificial Intelligence 31 (2):232-250.
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  18.  25
    Efforts to Encourage Multidisciplinarity in the Cognitive Science Society.James G. Greeno, William J. Clancey, Clayton Lewis, Mark Seidenberg, Sharon Derry, Morton Ann Gernsbacher, Patrick Langley, Michael Shafto, Dedre Gentner, Alan Lesgold & Colleen M. Seifert - 1998 - Cognitive Science 22 (1):131-132.
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  19.  48
    Reason and the heart: a prolegomenon to a critique of passional reason.William J. Wainwright - 1995 - Ithaca: Cornell University Press.
    Between the opposing claims of reason and religious subjectivity may be a middle ground, William J. Wainwright argues. His book is a philosophical reflection on the role of emotion in guiding reason. There is evidence, he contends, that reason functions properly only when informed by a rightly disposed heart. The idea of passional reason, so rarely discussed today, once dominated religious reflection, and Wainwright pursues it through the writings of three of its past proponents: Jonathan Edwards, John Henry Newman, (...)
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  20. Heidegger: through phenomenology to thought.William J. Richardson - 1966 - New York: Fordham University Press.
    "This book, one of the most frequently cited works on Martin Heidegger in any language, belongs on any short list of classic studies of Continental philosophy. William J. Richardson explores the famous turn in Heidegger's thought after Being in Time and demonstrates how this transformation was radical without amounting to a simple contradiction of his earlier views." "In a full account of the evolution of Heidegger's work as a whole, Richardson provides a detailed, systematic, and illuminating account of both (...)
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  21. Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing.William J. Rapaport - 2012 - International Journal of Signs and Semiotic Systems 2 (1):32-71.
    In this reply to James H. Fetzer’s “Minds and Machines: Limits to Simulations of Thought and Action”, I argue that computationalism should not be the view that (human) cognition is computation, but that it should be the view that cognition (simpliciter) is computable. It follows that computationalism can be true even if (human) cognition is not the result of computations in the brain. I also argue that, if semiotic systems are systems that interpret signs, then both humans and computers are (...)
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  22. What Is the “Context” for Contextual Vocabulary Acquisition?William J. Rapaport - 2003 - Proceedings of the 4th Joint International Conference on Cognitive Science/7th Australasian Society for Cognitive Science Conference 2:547-552.
    “Contextual” vocabulary acquisition is the active, deliberate acquisition of a meaning for a word in a text by reasoning from textual clues and prior knowledge, including language knowledge and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. But what is “context”? Is it just the surrounding text? Does it include the reader’s background knowledge? I argue that the appropriate context for contextual vocabulary acquisition is the reader’s “internalization” of the (...)
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  23. Cognitive and Computer Systems for Understanding Narrative Text.William J. Rapaport, Erwin M. Segal, Stuart C. Shapiro, David A. Zubin, Gail A. Bruder, Judith Felson Duchan & David M. Mark - manuscript
    This project continues our interdisciplinary research into computational and cognitive aspects of narrative comprehension. Our ultimate goal is the development of a computational theory of how humans understand narrative texts. The theory will be informed by joint research from the viewpoints of linguistics, cognitive psychology, the study of language acquisition, literary theory, geography, philosophy, and artificial intelligence. The linguists, literary theorists, and geographers in our group are developing theories of narrative language and spatial understanding that are being tested by the (...)
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  24. In Defense of Contextual Vocabulary Acquisition: How to Do Things with Words in Context.William J. Rapaport - 2005 - In Anind Dey, Boicho Kokinov, David Leake & Roy Turner (eds.), Proceedings of the 5th International and Interdisciplinary Conference on Modeling and Using Context. Springer-Verlag Lecture Notes in Artificial Intelligence 3554. pp. 396--409.
    Contextual vocabulary acquisition (CVA) is the deliberate acquisition of a meaning for a word in a text by reasoning from context, where “context” includes: (1) the reader’s “internalization” of the surrounding text, i.e., the reader’s “mental model” of the word’s “textual context” (hereafter, “co-text” [3]) integrated with (2) the reader’s prior knowledge (PK), but it excludes (3) external sources such as dictionaries or people. CVA is what you do when you come across an unfamiliar word in your reading, realize that (...)
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  25. CASTANEDA, Hector-Neri (1924–1991).William J. Rapaport - 2005 - In John R. Shook (ed.), The Dictionary of Modern American Philosophers, 1860-1960. Thoemmes Press.
    H´ector-Neri Casta˜neda-Calder´on (December 13, 1924–September 7, 1991) was born in San Vicente Zacapa, Guatemala. He attended the Normal School for Boys in Guatemala City, later called the Military Normal School for Boys, from which he was expelled for refusing to fight a bully; the dramatic story, worthy of being filmed, is told in the “De Re” section of his autobiography, “Self-Profile” (1986). He then attended a normal school in Costa Rica, followed by studies in philosophy at the University of San (...)
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  26. Publicity and Common Commitment to Believe.J. R. G. Williams - 2021 - Erkenntnis 88 (3):1059-1080.
    Information can be public among a group. Whether or not information is public matters, for example, for accounts of interdependent rational choice, of communication, and of joint intention. A standard analysis of public information identifies it with (some variant of) common belief. The latter notion is stipulatively defined as an infinite conjunction: for p to be commonly believed is for it to believed by all members of a group, for all members to believe that all members believe it, and so (...)
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  27.  4
    Philosophy of religion.William L. Rowe & William J. Wainwright - 1972 - New York,: Harcourt Brace Jovanovich. Edited by William J. Wainwright.
    The aim of this volume is to introduce students to the philosophy of religion by acquainting them with the writings of some of the thinkers who have made substantial contributions to this area. The text covers many topics that are central to the philosophy of religion, and, for each topic it considers, we have sought to provide a group of readings that reflects various philosophical viewpoints and pursues them in some depth without a loss of clarity.
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  28. Truth and freedom in psychoanalysis.William J. Richardson - 2003 - In Roger Frie (ed.), Understanding experience: psychotherapy and postmodernism. New York: Routledge.
  29. Jonathan Edwards and the hiddenness of God.William J. Wainwright - 2001 - In Daniel Howard-Snyder & Paul Moser (eds.), Divine Hiddenness: New Essays. New York, NY: Cambridge University Press. pp. 98--119.
  30.  14
    How Dysfunctional Must Real-World Democracies Become Before Legislating by Deliberative Poll Would Be More Democratic?William J. Talbott - 2020 - Krisis 40 (1):74-81.
    This essay is part of a dossier on Cristina Lafont's book Democracy without Shortcuts.
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  31. A Theory of Metaphysical Indeterminacy.Elizabeth Barnes & J. Robert G. Williams - 2011 - In Karen Bennett & Dean W. Zimmerman (eds.), Oxford Studies in Metaphysics Volume 6. Oxford University Press UK. pp. 103-148.
    If the world itself is metaphysically indeterminate in a specified respect, what follows? In this paper, we develop a theory of metaphysical indeterminacy answering this question.
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  32.  10
    William J. Clancey. Working on Mars: Voyages of Scientific Discovery with the Mars Exploration Rovers. xvi + 328 pp., illus., bibl., index. Cambridge, Mass.: MIT Press, 2012. $29.95. [REVIEW]Matthew H. Hersch - 2013 - Isis 104 (4):864-864.
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  33. Philosophy of Artificial Intelligence: A Course Outline.William J. Rapaport - 1986 - Teaching Philosophy 9 (2):103-120.
    In the Fall of 1983, I offered a junior/senior-level course in Philosophy of Artificial Intelligence, in the Department of Philosophy at SUNY Fredonia, after returning there from a year’s leave to study and do research in computer science and artificial intelligence (AI) at SUNY Buffalo. Of the 30 students enrolled, most were computerscience majors, about a third had no computer background, and only a handful had studied any philosophy. (I might note that enrollments have subsequently increased in the Philosophy Department’s (...)
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  34. God, the Demon, and the Cogito.William J. Rapaport - manuscript
    The purpose of this essay is to exhibit in detail the setting for the version of the Cogito Argument that appears in Descartes’s Meditations. I believe that a close reading of the text can shed new light on the nature and role of the “evil demon”, on the nature of God as he appears in the first few Meditations, and on the place of the Cogito Argument in Descartes’s overall scheme.
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  35. Mahler and the Vienna Nietzsche Society.William J. McGrath - 1997 - In Jacob Golomb (ed.), Nietzsche and Jewish culture. New York: Routledge. pp. 218.
     
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  36.  48
    Perfect Markets and Easy Virtue: Business Ethics and the Invisible Hand.William J. Baumol & Sue Anne Batey Blackman - 1991 - Wiley-Blackwell.
    This book examines the effects of the market mechanism on economies and societies. It argues that perfect competition has a tendency to promote adulteration of products and a general deterioration in quality. It also contends that it is very difficult for competitive firms to behave in socially desirable ways - being kind to the environment, contributing to worthy social programmes, handling redundancy humanely. The book goes on to propose ways in which these flaws might be remedied without subverting the market (...)
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  37. Computers Are Syntax All the Way Down: Reply to Bozşahin.William J. Rapaport - 2019 - Minds and Machines 29 (2):227-237.
    A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.
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  38. William James and the uncertain universe.William J. Leonhirth - 2001 - In David K. Perry (ed.), American pragmatism and communication research. Mahwah, N.J.: L. Erlbaum. pp. 89--110.
     
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  39. Explanatory Depth in Primordial Cosmology: A Comparative Study of Inflationary and Bouncing Paradigms.William J. Wolf & Karim P. Y. Thebault - forthcoming - British Journal for the Philosophy of Science.
    We develop and apply a multi-dimensional conception of explanatory depth towards a comparative analysis of inflationary and bouncing paradigms in primordial cosmology. Our analysis builds on earlier work due to Azhar and Loeb (2021) that establishes initial condition fine-tuning as a dimension of explanatory depth relevant to debates in contemporary cosmology. We propose dynamical fine-tuning and autonomy as two further dimensions of depth in the context of problems with instability and trans-Planckian modes that afflict bouncing and inflationary approaches respectively. In (...)
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  40. Meinongian theories and a Russellian paradox.William J. Rapaport - 1978 - Noûs 12 (2):153-180.
    This essay re-examines Meinong's "Über Gegenstandstheorie" and undertakes a clarification and revision of it that is faithful to Meinong, overcomes the various objections to his theory, and is capable of offering solutions to various problems in philosophy of mind and philosophy of language. I then turn to a discussion of a historically and technically interesting Russell-style paradox (now known as "Clark's Paradox") that arises in the modified theory. I also examine the alternative Meinong-inspired theories of Hector-Neri Castañeda and Terence Parsons.
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  41. Syntactic semantics: Foundations of computational natural language understanding.William J. Rapaport - 1988 - In James H. Fetzer (ed.), Aspects of AI. Kluwer Academic Publishers.
    This essay considers what it means to understand natural language and whether a computer running an artificial-intelligence program designed to understand natural language does in fact do so. It is argued that a certain kind of semantics is needed to understand natural language, that this kind of semantics is mere symbol manipulation (i.e., syntax), and that, hence, it is available to AI systems. Recent arguments by Searle and Dretske to the effect that computers cannot understand natural language are discussed, and (...)
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  42.  30
    Turning Philosophical Water into Theological Wine.William J. Abraham - 2013 - Journal of Analytic Theology 1:1-16.
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  43. Meinong, Alexius; I: Meinongian Semantics.William J. Rapaport - 1991 - In Hans Burkhardt & Barry Smith (eds.), Handbook of metaphysics and ontology. Munich: Philosophia Verlag. pp. 516-519.
    A brief introduction to Meinong, his theory of objects, and modern interpretations of it. Sections include: The Theory of Objects, Castañeda's Theory of Guises, Parsons,'s Theory of Nonexistent Objects, Rapaport's Theory of Meinongian Objects, Routley's Theory of Items.
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  44.  25
    Capacity and volition: a history of the distinction of absolute and ordained power.William J. Courtenay - 1990 - Bergamo: P. Lubrina.
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  45. Philosophy of Computer Science.William J. Rapaport - 2005 - Teaching Philosophy 28 (4):319-341.
    There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments.
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  46.  18
    Memory, Efficiency, and Symbolic Analysis: Charles Babbage, John Herschel, and the Industrial Mind.William J. Ashworth - 1996 - Isis 87 (4):629-653.
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  47.  11
    Heidegger.William J. Richardson - 1967 - The Hague,: Martinus Nijhoff.
  48.  18
    Deontic Justice and Organizational Neuroscience.William J. Becker, Sebastiano Massaro & Russell S. Cropanzano - 2017 - Journal of Business Ethics 144 (4):733-754.
    According to deontic justice theory, individuals often feel principled moral obligations to uphold norms of justice. That is, standards of justice can be valued for their own sake, even apart from serving self-interested goals. While a growing body of evidence in business ethics supports the notion of deontic justice, skepticism remains. This hesitation results, at least in part, from the absence of a coherent framework for explaining how individuals produce and experience deontic justice. To address this need, we argue that (...)
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  49. Understanding understanding: Syntactic semantics and computational cognition.William J. Rapaport - 1995 - Philosophical Perspectives 9:49-88.
    John Searle once said: "The Chinese room shows what we knew all along: syntax by itself is not sufficient for semantics. (Does anyone actually deny this point, I mean straight out? Is anyone actually willing to say, straight out, that they think that syntax, in the sense of formal symbols, is really the same as semantic content, in the sense of meanings, thought contents, understanding, etc.?)." I say: "Yes". Stuart C. Shapiro has said: "Does that make any sense? Yes: Everything (...)
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  50. Debunking evolutionary debunking of ethical realism.William J. FitzPatrick - 2015 - Philosophical Studies 172 (4):883-904.
    What implications, if any, does evolutionary biology have for metaethics? Many believe that our evolutionary background supports a deflationary metaethics, providing a basis at least for debunking ethical realism. Some arguments for this conclusion appeal to claims about the etiology of the mental capacities we employ in ethical judgment, while others appeal to the etiology of the content of our moral beliefs. In both cases the debunkers’ claim is that the causal roles played by evolutionary factors raise deep epistemic problems (...)
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