He writes
It is no coincidence that humans are special in their ability to outsmart other animals and plants by cause-and-effect reasoning, and that language is a way of converting information about cause-and-effect and action into perceptible signals. A distinctive and important feature of information is that it can be duplicated without loss. (If I give you a fish, I do not have the fish,but if I tell you how to fish, it is not the case that I now lack the knowledge how to fish.) A species that has evolved to rely on information should thus also evolve a means to exchange that information. Language multiplies the benefit of knowledge, because a bit of know-how is useful not only for its practical benefits to oneself but as a trade good with others. Using language, a person can exchange knowledge with somebody else at a low cost to himself and hope to get something in return. It can also lower the original acquisition cost—people can learn, say, how to catch a rabbit from someone else’s trial and error, without having to go through it themselves.
From
this conference. I recommend listening to the full talk
at this link.
What struck me was the importance of metaphor in abstract reasoning. If I say (about a chess game) that "I was forced to move my king," it does not mean that I was physically forced, but everyone understands the metaphor.
Thus, I would say that for a computer, understanding language is not just a matter of building up a knowledge base. It's a harder problem. I wrote on artificial intelligence here.
[Continued from I Heart Steven Pinker]
Indeed. My own Turing test for artifical intelligence is: Does AI get the joke?
Non linear reasoning is the crowning height of our cognitive development.
SP is terrific. You missed the best line in his TNR piece on that flaming whatever Lakoff. It's where he called children noble savages [who are] nasty, brutish and short!
Also, Lakoff replied and the debate is ongoing over there...