Could one argue the tuning by the programmer incorporates the relevant aspects of the model? (Which is what I think commenter meant by “implicit.”)
In my mom’s old van, going down a steep hill would mess up the cruise control: as you say, if you push hard enough, you can over come a control loop’s programming. So a guess as to relation to Bayescraft: certain real world scenarios operate within a narrow enough set of parameters enough of the time that one can design feedback loops that do not update based on all evidence and still work well enough.
Could one argue the tuning by the programmer incorporates the relevant aspects of the model? (Which is what I think commenter meant by “implicit.”) In my mom’s old van, going down a steep hill would mess up the cruise control: as you say, if you push hard enough, you can over come a control loop’s programming. So a guess as to relation to Bayescraft: certain real world scenarios operate within a narrow enough set of parameters enough of the time that one can design feedback loops that do not update based on all evidence and still work well enough.