I'm kind of new to machine learning/AI, but I was wondering if using thresholds/fuzzy logic-like functions and even networks of dependent, stochastic variables that change over time (LTL maybe?), would be ample enough to emulate natural processes like emotions, hunger, maybe even pain.
My dilemma is whether creating a basic library to do this for the developer community is worth it if everything can be modeled more-or-less mathematically deterministic, even if the formulas are really complicated (see research like: https://engineering.stanford.edu/news/virtual-cell-would-bring-benefits-computer-simulation-biology).
My initial reasoning was biological processes are connected to psychological functionality (e.g., being hungry might make someone irritable, but that irritability may wear-off, which triggers different paths of thought but not others). But these are so inter-dependent that it may be random or it is essentially PRNG, in order to properly simulate the mood fluctuations and biological processes computers don't have but humans do have.
Would we be better-off waiting for these complex physical/neurological models to come out?