6 found
Jonathan A. Waskan [6]Jonathan Andrew Waskan [1]
  1.  20
    Models and Cognition: Prediction and Explanation in Everyday Life and in Science.Jonathan A. Waskan - 2006 - Bradford.
    Jonathan Walkan challenges cognitive science's dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic model of mental representation. That logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition. It falls short, however, when confronted by the frame problem---the lack of a principled way to determine which features of a representation must be updated when new information becomes available. (...)
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  2. Intrinsic cognitive models.Jonathan A. Waskan - 2003 - Cognitive Science 27 (2):259-283.
    Theories concerning the structure, or format, of mental representation should (1) be formulated in mechanistic, rather than metaphorical terms; (2) do justice to several philosophical intuitions about mental representation; and (3) explain the human capacity to predict the consequences of worldly alterations (i.e., to think before we act). The hypothesis that thinking involves the application of syntax-sensitive inference rules to syntactically structured mental representations has been said to satisfy all three conditions. An alternative hypothesis is that thinking requires the construction (...)
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  3. Folk Psychology and the Gauntlet of Irrealism.Jonathan A. Waskan - 2003 - Southern Journal of Philosophy 41 (4):627-655.
  4.  38
    Kant’s Epistemic and Defining Criteria of Truth.Jonathan A. Waskan - 2000 - International Studies in Philosophy 32 (4):107-121.
  5.  67
    A critique of connectionist semantics.Jonathan A. Waskan - 2001 - Connection Science 13 (3):277-292.
  6. A virtual solution to the frame problem.Jonathan A. Waskan - forthcoming - Proceedings of the First IEEE-RAS International Conference on Humanoid Robots.
    We humans often respond effectively when faced with novel circumstances. This is because we are able to predict how particular alterations to the world will play out. Philosophers, psychologists, and computational modelers have long favored an account of this process that takes its inspiration from the truth-preserving powers of formal deduction techniques. There is, however, an alternative hypothesis that is better able to account for the human capacity to predict the consequences worldly alterations. This alternative takes its inspiration from the (...)
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