This animation shows how an interaction stack can branch into multiple parallel exploration paths. Each branch starts from the same point but can explore different possibilities independently.
Stack branching is a powerful feature for exploring multiple solution paths in parallel. This is commonly used in Monte Carlo Tree Search (MCTS) for agent reasoning, where the agent explores different possible actions and their outcomes before committing to a decision.