Logic, Formal Verification, Machine Learning, AI.
population=list(transition_probabilities[current_state].keys()), weights=list(transition_probabilities[current_state].values()), k=1 )[0] return next_state # Simulate state transitions def simulate(num_steps): current_state = RED print("Starting in state:", current_state) for step in