It seems to me that in science, there is always an implicit agreement that the current theory could be revised in light of new contradictory evidence. As far as I can tell, the Bayesian approach seems to lack this feature, since we have to assume a fixed model of the world to do the probability updates.
For example, what's the probability that the sun will rise tomorrow? How do you even calculate it? (To keep things simple, suppose you have seen the sun rise N times).
More abstractly, suppose every day you get a bit of information from some source, and the... (read more)
It seems to me that in science, there is always an implicit agreement that the current theory could be revised in light of new contradictory evidence. As far as I can tell, the Bayesian approach seems to lack this feature, since we have to assume a fixed model of the world to do the probability updates.
For example, what's the probability that the sun will rise tomorrow? How do you even calculate it? (To keep things simple, suppose you have seen the sun rise N times). More abstractly, suppose every day you get a bit of information from some source, and the... (read more)