Schmidhuber’s formulation of curiosity and interestingness as a (possibly the) human learning algorithm. Now when someone says “that’s interesting” I gain information about the situation, where previously I interpreted it purely as an expression of an emotion. I still see it primarily about emotion, but now understand the whys of the emotional response: it’s what (part of) our learning algorithm feels like from the inside.
There are some interesting signaling implications as well.
I would be wary of concluding too much from phatic statements. “That’s interesting” is more likely to be a phatic utterance than not in some contexts/with some people
That’s really interesting! (ha!) I recommend reading the full page for good examples, but here’s a summary:
Apart from external reward, how much fun can a subjective observer extract from some sequence of actions and observations? His intrinsic fun is the difference between how many resources (bits & time) he needs to encode the data before and after learning. A separate reinforcement learner maximizes expected fun by finding or creating data that is better compressible in some yet unknown but learnable way, such as jokes, songs, paintings, or scientific observations obeying novel, unpublished laws.
Schmidhuber’s formulation of curiosity and interestingness as a (possibly the) human learning algorithm. Now when someone says “that’s interesting” I gain information about the situation, where previously I interpreted it purely as an expression of an emotion. I still see it primarily about emotion, but now understand the whys of the emotional response: it’s what (part of) our learning algorithm feels like from the inside.
There are some interesting signaling implications as well.
I would be wary of concluding too much from phatic statements. “That’s interesting” is more likely to be a phatic utterance than not in some contexts/with some people
Direct link to the page on the theory.
That’s really interesting! (ha!) I recommend reading the full page for good examples, but here’s a summary: