When you have a simple description doing a lot of work and then add more description instead of piling on complexity it can be seen as making implicit claims more explicit. One is in effect “filling out the details”.
Taking things to the extreme might pinpoint where the nebolous parts need further clarification. As laid out a bayesian deals in probabilities even in the limits which makes it kind of like emplying the most useful atomic heuristics. The lookup table can be thought as being the go-to answer for “has optimal action” and bayesian as “has integrated all information” with everything else set at a token level.
A more real thought process might have the property that there are information that is not integrated into the decision but it also seems that being blind to too much central information would be grounds to judge a thought process as deficient. The principle that allows to delineate some info as remote and some as central could point to a different maxim. It feels like the bayesian is more advanced as the lookup table despite the lookup table being more solid and unhesitant. So it would be interesting why it would be okay or move things forward to neglect remote information while it still impacts probabilities.
When you have a simple description doing a lot of work and then add more description instead of piling on complexity it can be seen as making implicit claims more explicit. One is in effect “filling out the details”.
Taking things to the extreme might pinpoint where the nebolous parts need further clarification. As laid out a bayesian deals in probabilities even in the limits which makes it kind of like emplying the most useful atomic heuristics. The lookup table can be thought as being the go-to answer for “has optimal action” and bayesian as “has integrated all information” with everything else set at a token level.
A more real thought process might have the property that there are information that is not integrated into the decision but it also seems that being blind to too much central information would be grounds to judge a thought process as deficient. The principle that allows to delineate some info as remote and some as central could point to a different maxim. It feels like the bayesian is more advanced as the lookup table despite the lookup table being more solid and unhesitant. So it would be interesting why it would be okay or move things forward to neglect remote information while it still impacts probabilities.