Description: Behavioral Game Theory Simulation is a tool that applies the principles of game theory to analyze strategic interactions among agents, considering not only rational decisions but also human behaviors and emotions that influence these decisions. This simulation allows modeling complex situations where participants must make decisions that affect others, exploring how expectations, trust, and cooperation can alter outcomes. Through artificial intelligence algorithms, virtual environments can be created where agents simulate human behaviors, providing a more realistic view of social and economic dynamics. The relevance of this simulation lies in its ability to predict outcomes in scenarios where human interaction is key, such as negotiations, conflicts, and collaborations. Additionally, it allows researchers and professionals to experiment with different strategies and observe how these affect agent behavior, facilitating the understanding of complex phenomena across various disciplines, from economics to social psychology.