Yeah, in probability theory you don’t have to worry about how everything is implemented. But for implementations of Bayesian modeling with a rich hypothesis class, each hypothesis could be something like a blob of code which actually does a variety of things.
As for “want”, sorry for using that without unpacking it. What it specifically means is that hypotheses like that will have a tendency to get more probability weight in the system, so if we look at the weighty (and thus influential) hypotheses, they are more likely to implement strategies which achieve those ends.
Yeah, in probability theory you don’t have to worry about how everything is implemented. But for implementations of Bayesian modeling with a rich hypothesis class, each hypothesis could be something like a blob of code which actually does a variety of things.
As for “want”, sorry for using that without unpacking it. What it specifically means is that hypotheses like that will have a tendency to get more probability weight in the system, so if we look at the weighty (and thus influential) hypotheses, they are more likely to implement strategies which achieve those ends.