I don't know. I'm not so sure that we can create new working models from scratch. We definitely learn by iterative feedback: babies wiggle stuff and watch what happens to learn how to move their bodies. Learning to ride a bicycle is mostly about falling off bicycles until you learn how not to.
I've seen people apply their normal behaviour to situations that have changed, and then get totally confused (and angry) as to why the result isn't the same. Observe anyone travelling in a new country for examples ("why don't they show the price with the sales tax included here? This is ridiculous!").
In a perfect world, sure, we'd construct a rational mental model of a new situation and test it carefully to ensure it matched reality before trusting it, and then apply it correctly to the new situation. But it's not a perfect world, and people don't actually do that. Usually we charge in and then cope with the results.
Of course, I'm not saying that AI should do that. It'll be interesting to see how a "good" general AI copes with a genuinely new situation.
I think we apply radically different cognitive machinery to physical skills like riding a bicycle, compared to playing a card game where the rules are on the cards, and you have no idea what rule will be on the next card or even what rules are possible. We can train Chimps to ride bicycles, so they have the cognitive machinery for that, but we can't teach them to play these kinds of card games.
Interesting. True. But is that because we lack the communication skills to explain the rules to chimps, or because they lack the cognitive modelling ability to understand those rules?
I've seen people apply their normal behaviour to situations that have changed, and then get totally confused (and angry) as to why the result isn't the same. Observe anyone travelling in a new country for examples ("why don't they show the price with the sales tax included here? This is ridiculous!").
In a perfect world, sure, we'd construct a rational mental model of a new situation and test it carefully to ensure it matched reality before trusting it, and then apply it correctly to the new situation. But it's not a perfect world, and people don't actually do that. Usually we charge in and then cope with the results.
Of course, I'm not saying that AI should do that. It'll be interesting to see how a "good" general AI copes with a genuinely new situation.