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  1. May 18, 1997 · Connectionism promises to explain flexibility and insight found in human intelligence using methods that cannot be easily expressed in the form of exception free principles (Horgan & Tienson 1989, 1990), thus avoiding the brittleness that arises from standard forms of symbolic representation.

  2. What are highly novel are the claims made by connectionists about the precise form of internal information processing. Before getting to those claims, let us first discuss a few other connectionist architectures.

  3. Mar 1, 2017 · Fodor and Pylyshyn's critique of connectionism has posed a challenge to connectionists: Adequately explain such nomological regularities as systematicity and productivity without postulating a "language of thought" (LOT).

    • Murat Aydede
    • 1997
  4. Connectionism is the name of an approach to the study of human mental processes and cognition that utilizes mathematical models known as connectionist networks or artificial neural networks. [1] . Connectionism has had many "waves" since its beginnings.

  5. Mar 11, 2020 · While many connectionisms that dominated the later twentieth century could fall prey to criticisms of biological, pedagogical, and linguistic implausibility, current connectionist approaches can resolve those problems in a Wittgenstein-friendly manner.

    • Charles W. Lowney, Simon D. Levy, William Meroney, Ross W. Gayler
    • 2020
  6. Connectionists have made significant progress in demonstrating the power of neural networks to master cognitive tasks. Here are three well-known experiments that have encouraged connectionists to believe that neural networks are good models of human intelligence.

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  8. Aug 25, 2020 · For symbolists, the way of thinking can be fully symbolically simulated without biological embodiment. For connectionists, biological embodiment is a must, and they use connectionist networks for embodiments.

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