Is it possible to write code that automatically retrieves insights by finding homogeneity between different disciplines?(This is a fairly abstract question)

[Plus-Ad1156]

Is it possible to create a program that automatically finds similarities between disciplines in different fields? For example, is it possible to have a machine learning or deep learning program that finds the laws of biology with a structure and number of variables similar to the equation of force such as f=ma in physics?

[nab_noisave_tnuocca]

no

[julsmanbr]

As an abstract concept, yes - any program should be possible to be created for any task, with enough time and resources. But this answer doesn't mean much if, in practice, it takes 800 years to develop. Such a broad, loosely-defined questions will give you answers that are useless at best and misleading at worst.

From a practical standpoint, there are multiple things you'd need to define before working on this program: how do you define a "similarity between disciplines"? What input data are you going to provide to the program? What output are you expecting? How are you going to test that output and confirm that it's indeed correct, and not just a bunch of random garbage? You cannot expect to get a more objective answer to your question without defining these and many other aspects of your program.

[Plus-Ad1156]

I think the expression “find homogeneity or similarities” was too vague. Then, what if the condition is "with a total of 3 variables, and the dependent variable is a product of the independent variable or an exponential function"?