As Time Moves

As I continue writing the mathematics section of my paper, I am gaining a deeper appreciation for how probability, risk assessment, and strategic decision-making come together in game theory. This project has reinforced the idea that economics is not just about money and markets but also about human behavior and rational decision-making under uncertainty. Designing a dice game to analyze probability and strategy interests and requires me to consider not just theoretical models but also real-world applications such as how businesses, policymakers, and even everyday people navigate uncertain situations with limited information. 

One challenge I have encountered is the relationship between mathematical theory and practical application. While I can use probability models to predict certain outcomes, real players don’t behave rationally. This makes me question how real-world decision-makers handle uncertainty when probability suggests a certain move is the best, but psychology or emotions learn toward another.

Looking ahead, I also want to explore whether my model can be expanded to other strategic games beyond dice, such as auctions or stock market simulations, where similar economic principles apply. The more I research and conduct this project, the more I see its potential applications, making it an exciting and valuable learning experience.