3 Goals of AI Research

• 1. AI as advanced CS, or as engineering
  • Goal = to extend frontiers of what we know how to program
    • in order to reach ultimate goal of self-programming, natural-language-understanding computers,

    • and to do this by whatever means will do the job,

    • not necessarily in a "cognitive" fashion.

  • AI at "cutting edge" (= "periphery"?) of CS

• AI as "computational cognition":
  • 2. AI as computational psychology
    • Goal = to write programs as theories or models of human cognitive behavior

  • 3. AI as computational philosophy
    • Goal = Is cognition computable?
      • If so, what algorithms are necessary or sufficient for cognition?

      • If not, then how much of cognition is computable?

• Shapiro, Stuart C. (1992), "Artificial Intelligence", in Stuart C. Shapiro (ed.), Encyclopedia of Artificial Intelligence, 2nd edition (New York: John Wiley & Sons): 54-57.

• Rapaport, William J. (1998), "How Minds Can Be Computational Systems", Journal of Experimental and Theoretical Artificial Intelligence 10: 403-419.

• Rapaport, William J. (2000), "Cognitive Science", in Anthony Ralston, Edwin D. Reilly, & David Hemmendinger (eds.), Encyclopedia of Computer Science, 4th edition (New York: Grove's Dictionaries): 227-233.
  • postscript version
  • PDF version

• Rapaport, William J. (2003), "What Did You Mean by That? Misunderstanding, Negotiation, and Syntactic Semantics", Minds and Machines: Journal for Artificial Intelligence, Philosophy, and Cognitive Science 13(3): 397-427.
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