PREDICTING HUMAN BEHAVIOUR WITH COMPUTE

Here’s a thought experiment I’ve been playing with: Suppose I want to ask my professor for 1% so I can pass. From a strictly physical perspective: I contract muscles, fire neurons, and type an email.Electrons move through servers and screens, altering the atomic states of his computer. Photons hit his retina, neurons fire, and his brain state changes. That cascade ultimately causes him to make a decision: approve, deny, or ignore. In other words, my action is matter, energy, and probability interacting, producing a final observable outcome. I’ve considered applying Monte Carlo simulations and game-theory models to optimise the odds, treating his behaviour as a stochastic system. But humans are highly complex, adaptive systems with layers of biochemical, cognitive, and social feedback. My question for this community: - Why haven’t we built a computer capable of simulating human decision-making at this level of physical determinism? - Are there fundamental limits (computational, epistemic, or quantum) that make this impossible, even in principle? - What current approaches come closest ? e.g., probabilistic cognitive architectures, neural networks, or physics-based brain simulations? I’m aware this is heavy on determinism. I recently watched Alex Garland’s Devs and it explores similar ideas, though I’m asking more about practical simulation and limits rather than narrative. I’d love to hear perspectives from people familiar with quantum simulation, computational neuroscience, or stochastic modelling. [edited to refine diction] submitted by /u/readmymind_ [link] [comments]