Game Theory
Game theory provides a mathematical framework for analyzing strategic interactions between rational agents, aiming to predict outcomes and identify optimal strategies. Current research focuses on applying game theory to diverse areas, including decentralized resource allocation in complex systems (like federated learning and semantic communications), developing algorithms for finding Nash equilibria, and evaluating the strategic decision-making capabilities of large language models (LLMs) in various game settings. These advancements have significant implications for fields ranging from AI safety and security to economics and the design of robust and efficient multi-agent systems.
Papers
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