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2003-02-26 1:21 PM Salon on Turing and AI Previous Entry :: Next Entry Read/Post Comments (8) Catch it while it's still around...
Salon has an interesting overview of the "Loebner Prize", a half-baked contest meant to find a winner for the Turing Test.
Sounds like it to me. I'd heard of the Loebner Prize, but this article does a good job of talking about the guy behind it, as well as giving a good overview of Turing, AI, and attempts at building natural language processors for the past 50 years.
Yup, that's about right. When you get right down to it, the Turing Test is really pretty silly. There is still rich debate regarding what intelligence even is, though many discuss a wide range of psychological attributes such as problem solving, spatial awareness, ability to acquire and apply new knowledge, and so on. The fundamental attributes required to pass the Turing Test are natural language ability and a propensity for deception (after all, the point is to trick a human judge). And what about the contest itself?
Well, yeah. True natural language processing is near the tip of the AI pyramid. That's because being able to intelligably use language relies on sensory perception and interaction with the real world (or a suitably complex virtual environment). Words are arbitrary symbols used as shorthand for real-world concepts. That is, the word "horse" has to have a real-world referent for it to have any meaning at all (see Searle's Chinese Room). It's not enough for the word "horse" to associated with a bunch of strict grammatical rules and associations with other symbols in a complicated database. The crucial linkage is between the word and its real-world counterpart. Thus, "horse" has little or no meaning to you if you cannot associate it with something real. This is why most of the fundamental research in AI right now has to center on building the tools to allow machines to interact with their environments in a meaningful way. That means we have to build better eyes, ears (or sonar sensors), arms and other manipulators, and locomotors first. Just as the biological brain could not evolve without a biological chassis to house it, artificial minds will not be able to do the same. The "brain-in-a-box" is an AI fantasy. For something to be considered intelligent, it's going to have to be able to interact, in a rich and meaningful way, with its environment. Read/Post Comments (8) Previous Entry :: Next Entry Back to Top |
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