Expert System Inference Simulator

Expert systems solve problems by applying a knowledge base of "if-then" rules to a set of known facts. This simulator renders that rule network in 3D: base facts sit on one layer, the rules that consume them sit on the next, and the facts those rules derive feed the following layer, all the way to a final diagnosis. Run forward chaining to watch evidence ignite rules and propagate toward a conclusion, or switch to backward chaining to watch the engine work backward from the goal, verifying each subgoal against the rules and facts that support it. Tune which symptoms are present, how confidently each rule fires, and how fast the chain animates to see how real-world uncertainty and incomplete evidence can stall — or complete — an inference chain.