Objective:

This study aims to examine the role and position of game theory in futures studies and the modeling of strategic behaviors in complex and multi-layered scenarios. Given the rapid changes in scientific, technological, and economic domains, predicting the future behaviors of key actors is of particular importance.

Methodology:

This research is applied in terms of purpose and descriptive in terms of data collection method. It employs a mixed-method approach (quantitative and qualitative), analyzing data using the seven-step meta-synthesis method of Sandelowski and Barroso. The study's expert community includes specialists in futures studies, game theory, competitive strategies, and complex scenario analysis, comprising university professors, leading researchers, and professionals in strategic, military, and policy-making sectors.

Findings:

The results indicate that game theory can serve as an effective tool for simulating and predicting strategic behaviors in response to future challenges. The study identified 26 key themes, including changes in behaviors and decisions, uncertainty analysis, and strategic responses to crises.

Originality:

The findings confirm the applicability of game theory in managing technological and economic risks, analyzing international competition, and strategic decision-making. These results demonstrate that game theory can significantly enhance the futures studies process and improve decision-making under uncertainty.