What to cover, and how?

  • History/'the big problems' ?
  • Focus on current best-understanding?
    • or a small number of relatively detailed topics
      • E.g. Categorisation
  • Understanding methodology as a primary goal
  • Which hyphenation?
  • Top-down vs. bottom-up
    • Start with e.g. cross-modal priming
      • McGurk effect
  • Edinburgh perspective
  • Extended mind/internal vs. external representation/cog sci and design (Don Norman, doors, affordances)
    • Cog Sci for CS -- designing and evaluating GUIs -- depth of menus
  • Acquisition ?
  • Corpora, gold standards, supervised vs. unsupervised (or a lab)
  • Themes
    • Representation
    • Modelling
      • Propositions vs. Statistics
  • Philosophical topics as (mostly) tutorial topics
    • Near the end
    • One lecture or two
    • Turing test (the real one), morality/humanity, consciousness (not)
  • Abstraction/mind vs. brain at the end, if at all
  • Broader brush in lectures, focus on two or three topics in more detail in tutorials
    • Students come to tutorial with different information
      • So they have to talk to each other
  • Kumar's three levels [ref?]
  • Cognitive Science as reverse engineering
  • How much does embodiment matter?

"Like linguistics, but more useful
Like computing, but more interesting" -- Jon Oberlander

"There will be no interesting work on language generation until we have a computer that has something to say" -- Dave McDonald, maybe

-- HenrySThompson - 25 Aug 2010

Topic revision: r3 - 31 Aug 2010 - 10:57:04 - HenrySThompson
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