Incorporating noisy experience into SMoT can have a significant impact on decision-making processes. Noisy data or incorrect experiences stored in the state machine can lead to suboptimal decisions during problem-solving tasks. When noisy experiences are included, there is a risk of misleading the model and guiding it towards ineffective sub-solutions or sub-problems. This could result in decreased accuracy and efficiency in solving problems as the model may rely on incorrect past trajectories for guidance.