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You provide no evidence for the last statement: "that story will take a lot more than statistical learning to write." The existing evidence overwhelming sugges
by equark 15y ago
You provide no evidence for the last statement: "that story will take a lot more than statistical learning to write."
The existing evidence overwhelming suggests that a computer that can "learn to produce infinite, novel, contextual, and meaningful grammatical utterances" will be based on probabilistic models. In fact it's hard to imagine how it could possibly be otherwise.
The computer is observing noisy sensory input and is trying to make inferences about how to communicate with some future reader. Mathematically, there is only one way to write this problem: probability. It's true that the learned model may have amazing structure to it, but this will almost certainly be learned via probabilistic models rather than being hand-coded by some future Chomsky.
That fact does not imply we will understand language systems or the human mind. The Chomsky route may be better suited for that task.
- brockf 15y agoWhere is the existing evidence? And what evidence in modern science can possibly look into the future and make a prediction about something that right now is so far beyond our grasp? Statistical learning explains a lot. I'm a huge fan of it. Skinner's Behaviourism also explained a lot in psychology. But, just as in the case of behaviourism, I fear that statistical learning has/will hit a wall at which its explanations become futile and overly simplified. My personal belief is that, at that wall, we'll see that human language instincts and evolved language-specific mechanisms will be what we are looking for.