Game theory is the study of how people behave in strategic situations, where the outcome of a participant’s choice of action depends on the choices of other participants. It can be applied to a wide range of topics, from economics and business to politics and military strategy. Currently, its uses are widespread, though somewhat academic.
For instance, game theory has been used in recent years to help predict the outcome of elections, as well as to model the behavior of markets and their participants. To put to practical use, we would need to develop algorithms that can interpret and analyze the data generated by these models. We would also need to identify patterns in the data and use them to accurately predict the outcome of certain scenarios. Finally, we would need to develop strategies that can be implemented based on these predictions.
In the example of election outcome, without contributing factors that may influence the election, it’s little more than a prediction model. And influencing elections in significant enough ways to alter the results could run dangerously close to ethics violations.
Still, with enough data and powerful enough computing, real-world predictions could be made about very nearly any subject matter. This could lead to a whole new world of data-driven decision-making in politics and policy, as well as other areas like health care, transportation, and education. Such an approach could potentially revolutionize the way we make decisions.