The article explores whether there is a logical explanation for mixed-strategy Nash equilibria, like there is for pure-strategy equilibria. The researchers show that common learning methods fail to converge in most games with mixed strategies. They use an analogy to describe this process as a competitive exchange economy, where instability arises due to certain risk preferences. This means that players need more sophistication to play equilibrium strategies with mixed strategies than with pure strategies.