Computational Game Theory

Computational Game Theory studies how algorithms can be designed to analyze, predict, and optimize strategic interactions among rational decision-makers, often using computer models. It combines ideas from game theory—which explores how individuals or entities make choices in competitive or cooperative settings—and computer science, focusing on the complexity and efficiency of solving these problems. This field helps develop practical methods for applications like auctions, network routing, and automated decision-making, ensuring solutions are both strategically sound and computationally feasible.