👉 Non-Wright Nash Equilibrium (wn Math) is a concept in game theory that extends the traditional Nash Equilibrium by relaxing some of its strict conditions. While a Nash Equilibrium requires that no player can benefit by unilaterally changing their strategy, given the strategies of others, the wn framework allows for situations where players might not strictly adhere to these optimal strategies due to factors like imperfect information, bounded rationality, or repeated interactions. In wn Math, players might choose strategies that are "good enough" rather than strictly optimal, leading to outcomes that can still be stable and predictable. This approach is particularly useful in modeling real-world scenarios where perfect rationality is an idealization, offering a more nuanced understanding of strategic interactions.
