This thesis explores game theory and its connection to behavioral economics. The thesis provides a comprehensive overview of the historical development of game theory, highlighting its evolution into a multidisciplinary framework with applications in various fields. The thesis elaborates on the fundamental components of game theory, including players, strategies, payoffs, and equilibrium solutions. Integrating behavioral economics, the thesis points to the limitations of traditional assumptions of rationality and explores how cognitive biases and emotional factors shape human economic decisions. By analyzing various applications of game theory in behavioral economics, the thesis demonstrates the practical significance of this concept in various domains, including cooperation, negotiation, pricing, and distribution. The emphasis is on a better understanding of strategic interactions in light of behavioral biases and bounded rationality. The conclusion synthesizes the findings of the thesis, highlighting its contribution to understanding the decision-making process and recognizing the importance of integrating behavioral aspects into game theory. The thesis also provides recommendations for further research into the dynamics of strategic interactions and the application of behavioral economics in the development of sophisticated interventions and policies adapted to real human behavior. Through a comprehensive approach, this work explores a deeper understanding of the complexity of strategic decisionmaking and provides tools to better predict behavior in different economic and social contexts.