Probably nobody cares—apart from you, it seems. Apparently, one can’t get away with using the phrase “update speed” in connection with an intelligent agent without getting bounced.
When you said:
“I don’t understand how this notion of “update speed” translates into the Bayesian setting.”
...and I said...
“Say you think p(heads) is 0.5. If you see ten heads in a row, do you update p(heads) a lot, or a little? It depends on how confident you are of your estimate. If you had previously seen a thousand coin flips from the same coin, you might be confident of p(heads) being 0.5 - and therefore update little. If you were told that it was a biased coin from a magician, then your estimate of p(heads) being 0.5 might be due to not knowing which way it was biased. Then you might update your estimate of p(heads) rapidly—on seing several heads in a row. Like that.”
...IMO, the conversation could and should have stopped—right there.
Probably nobody cares—apart from you, it seems. Apparently, one can’t get away with using the phrase “update speed” in connection with an intelligent agent without getting bounced.
When you said:
“I don’t understand how this notion of “update speed” translates into the Bayesian setting.”
...and I said...
“Say you think p(heads) is 0.5. If you see ten heads in a row, do you update p(heads) a lot, or a little? It depends on how confident you are of your estimate. If you had previously seen a thousand coin flips from the same coin, you might be confident of p(heads) being 0.5 - and therefore update little. If you were told that it was a biased coin from a magician, then your estimate of p(heads) being 0.5 might be due to not knowing which way it was biased. Then you might update your estimate of p(heads) rapidly—on seing several heads in a row. Like that.”
...IMO, the conversation could and should have stopped—right there.