The article explores how traditional theories about how people make decisions may not always hold true in real life. By using computer simulations, the researchers found that even in a simple game, players' expectations and lack of prior knowledge can lead to unexpected outcomes. In one simulation, players' expectations played a crucial role in determining results. In another simulation, offering payment incentives alone did not always lead to higher effort from risk-averse players. However, using a specific learning method helped players produce better results. This study helps us better understand how to design incentives in situations where people may not always act rationally.