Algorithmic game theory is a research field at the intersection of computer science and economics, focusing on the computational aspects of strategic interactions among rational agents. It investigates the design and analysis of algorithms in game-theoretic settings, the computational complexity of finding game equilibria, and the design of mechanisms that incentivize desired algorithmic behavior in distributed or networked systems. Its significance lies in providing theoretical foundations and practical tools for understanding and building complex computational systems involving self-interested participants.