>It will simplify matters for the reader if I explain first my own beliefs in the matter. Consider first the more accurate form of the question. I believe that in about fifty years' time it will be possible, to programme computers, with a storage capacity of about 109, to make them play the imitation game so well that an average interrogator will not have more than 70 per cent chance of making the right identification after five minutes of questioning.
COMPUTING MACHINERY AND INTELLIGENCE
— A. M. Turing
10^9 bits is only (check my math) about 120 MBytes.
So Turing was perhaps a bit optimistic there?
The Turing test is not a test. Instead, it is an operational definition of "intelligence", a very slight formalization of the idea that something is intelligent if it seems to be intelligent.
As a test, it obviously has to have some kind of limits like this "competition", but as soon as you put limits on it then it stops being useful and becomes both gameable and meaningless. The Turing test has already been passed, long ago, if you have limits suitable to the Doctor or Parry.
Exactly. It's a straightforward formulation of what a strong AI would be capable of. It makes no sense to have a restricted Turing test that can be passed by a useless chatbot. It means absolutely nothing.
It's a way of having a better metric than pass/fail. This is the real problem with AI. Everyone expects that AI research should go: you put a bunch of programmers in a room, and they work for a few years and build an AI.
The best intelligence production we have is human child-rearing. This process has always taken 15-20 years, and is backed by millennia of research. Assume you have a digital computer capable of human-like thought. Without an example of a computer capable of learning faster, it stands to reason that raising the computer into an AI capable of conversation should take 15-20 years.
Of course, one thinks there would be a way to do it faster, but on the first go?
[1] Although usage may be changing. Pity.
I studied AI shortly after the "AI Winter", which is where I got my definition. Strong AI---working towards a general intelligence---was strongly out of favor, especially with funding agencies. It still remains so (but see Watson). But solving limited problems heuristically (or statistically) that are not otherwise algorithmically tractable (a loose translation of "would appear to require general intelligence") has always been a fertile field.
Turing's argument, which is a philosophical argument, is not meaningful if you put any limits on it---time, topic, behavior (really, Parry is better than the Doctor), which is why it is better thought of as a thought experiment. If you have limits such that it can be gamed, then yes, it is fair to say "you only need to simulate intelligence well enough to fool the judge." Which makes it uninteresting.
But the question is, if you can "simulate intelligence" well enough under any conceivable circumstance (and yes, all actual human beans will fail here), how can you say that it cannot "actually think"?
While the limits in this case were admittedly rather strong, this does not form a fundamental objection to the test. The bar can be set progressively higher.
The problem with positively defining intelligence is that all such definitions seem to end up begging the question and are therefore unsatisfactory to somebody. Which is what makes the Turing test philosophically interesting.
The test is an adversarial game, and both sides can attempt new strategies of fooling or seeing through the opponent. I think your claim about being able to pass any set of limits is rather bold, and I would be curious about arguments for it.
We're already in the territory where there are certain applications for these chatbots, and there is no fundamental argument why we this line of research could not progress further until it reaches its goals. I don't mean to say I believe we'll have AI soon, just that you can't fault the Turing test for not doing what it should.
What do you mean when you say there is a problem with positively defining intelligence? Do you think we should define it negatively? There is a lot of criticism of the Turing test, but alternative proposals are exceedingly rare.
A more correct test (which admittedly doesn't cover this issue) would be to give each judge a conversation with one human and one computer, and for them to say which one they believe is the human.
I always assumed this was exactly what the Turing test was about. Guess I was wrong.
http://gizmodo.com/this-is-the-first-computer-in-history-to-...