19 found
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  1. Heuristic Classification.William J. Clancey - 1985 - Artificial Intelligence 27 (3):289-350.
  2.  14
    Situated Action: A Neuropsychological Interpretation Response to Vera and Simon.William J. Clancey - 1993 - Cognitive Science 17 (1):87-116.
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  3. The Epistemology of a Rule-Based Expert System —a Framework for Explanation.William J. Clancey - 1983 - Artificial Intelligence 20 (3):215-251.
  4. Model Construction Operators.William J. Clancey - 1992 - Artificial Intelligence 53 (1):1-115.
  5.  2
    Acción situada: una interpretación neurosicológica. Respuesta a Vera y Simon.William J. Clancey - 1993 - Cognitive Science 17 (1):87-116.
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  6. The Invention of Memory: A New View of the Brain.William J. Clancey - 1991 - Artificial Intelligence 50 (2):241-284.
  7.  13
    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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  8.  9
    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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  9.  47
    The Biology of Consciousness: Comparative Review of Rosenfield and Edelman.William J. Clancey - 1993 - Artificial Intelligence 60 (2):313-356.
  10. Artificial Intelligence and Learning Environments: Preface.William J. Clancey & Elliot Soloway - 1990 - Artificial Intelligence 42 (1):1-6.
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  11.  15
    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.
  12.  24
    Situated Action: A Neuropsychological Interpretation.William J. Clancey - forthcoming - Philosophical Explorations.
    Symbols in computer programs are not necessarily isomorphic in form or capability to neural processes. Representations in our models are stored descriptions of the world and human behavior, created by a human interpreter; representations in the brain are neither immutable forms nor encoded in some language. Although the term " symbol " can be usefully applied to describe words, smoke signals, neural maps, and graphic icons, a science of symbol processing requires distinguishing between the structural, developmental, and interactive nature of (...)
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  13.  15
    Relating Modes of Thought.William J. Clancey - 2011 - In Thomas Bartscherer (ed.), Switching Codes. Chicago University Press. pp. 161.
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  14.  23
    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. Notes on “Epistemology of a Rule-Based Expert System”.William J. Clancey - 1993 - Artificial Intelligence 59 (1-2):197-204.
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  16. Understanding Computers and Cognition: A New Foundation for Design.William J. Clancey - 1987 - Artificial Intelligence 31 (2):232-250.
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  17.  8
    Functional Principles and Situated Problem Solving.William J. Clancey - 1987 - Behavioral and Brain Sciences 10 (3):479-480.
  18.  6
    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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  19.  19
    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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