Description: The ‘Juvenile Behavior Simulation’ refers to the creation of computational models that replicate the interactions and behaviors of young individuals in various contexts. This simulation uses artificial intelligence algorithms to mimic decision-making, emotions, and social dynamics characteristic of adolescents and young adults. By collecting data on behavior patterns, the simulation can provide an accurate representation of how young people interact with each other and their environment. Key features of these simulations include the ability to adapt to different scenarios, the inclusion of social and emotional variables, and the potential to make predictions about future behaviors. The relevance of this type of simulation lies in its potential to help researchers, educators, and policymakers better understand the needs and challenges faced by youth in today’s society. Additionally, these simulations can be valuable tools in creating intervention programs and evaluating their effectiveness, providing a safe space to explore different outcomes without real risks to the individuals involved.
