Foundations of AI: Multi-Agent Systems

Game theory in multi-agent systems studies strategic interactions among autonomous agents, focusing on decision-making in competitive or cooperative environments. It analyzes how agents' choices impact outcomes and aims to optimize strategies for achieving individual or collective goals. Modeling scenarios as games provides insights into rational behavior and equilibrium solutions. Applications range from economics and social sciences to computer science and artificial intelligence. It offers a framework for understanding complex interactions and designing efficient algorithms in decentralized systems.