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Explore cooperative game theory and its applications to group reasoning in this lecture delivered by Professor Kate Larson at the 2025 Cooperative AI Summer School. Delve into the mathematical frameworks and algorithmic approaches used to analyze situations where groups of agents can form coalitions and work together to achieve better outcomes than they could individually. Learn about key concepts including coalition formation, solution concepts like the core and Shapley value, and how these theoretical foundations apply to modern artificial intelligence and multiagent systems. Examine the computational challenges involved in implementing cooperative game theory solutions and discover how these principles inform the development of cooperative AI systems. Gain insights from Professor Larson's expertise in algorithmic game theory, computational social choice, and group decision making as she demonstrates how cooperative game theory provides essential tools for understanding and designing systems where multiple agents must collaborate effectively.
