These are meta data that’s derived from something in reality, whether you are working on a computer program, or working through some math. The act of working on them is similar to how a ML algorithm runs, it collects data (i.e. we read the equations, and we form a graph of variables of components that interact with each other, as even these mental models can be considered as input to the ANN) and form hidden layers in a ANN and turns into output (i.e. actions, writing down a variable, add some computation steps, etc.). These meta data mentioned by the author that we keep track of when doing these tasks are essentially the hidden layers of the ANN algorithm. Also everyone runs on different ANN. The meta data that the author mentioned are something that I personally have used as well, so there is some rational process to forming these useful metrics that help us complete the tasks.
This is essentially what machine learning, especially ANN, is.
I think you are downvoted because it is not clear what you are referring to. Maybe you can elaborate?
These are meta data that’s derived from something in reality, whether you are working on a computer program, or working through some math. The act of working on them is similar to how a ML algorithm runs, it collects data (i.e. we read the equations, and we form a graph of variables of components that interact with each other, as even these mental models can be considered as input to the ANN) and form hidden layers in a ANN and turns into output (i.e. actions, writing down a variable, add some computation steps, etc.). These meta data mentioned by the author that we keep track of when doing these tasks are essentially the hidden layers of the ANN algorithm. Also everyone runs on different ANN. The meta data that the author mentioned are something that I personally have used as well, so there is some rational process to forming these useful metrics that help us complete the tasks.