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Learn empirical meta-game analysis techniques for evaluating interactive AI systems in this 55-minute lecture delivered by Michael P. Wellman at the 2025 Cooperative AI Summer School. Explore how computational market mechanisms and game-theoretic reasoning methods can be applied to assess AI systems that interact with other agents or humans. Discover methodologies for analyzing strategic behavior in multi-agent environments and understand how empirical approaches can provide insights into the performance and robustness of interactive AI systems. Gain knowledge from Wellman's extensive research background in electronic commerce, finance, and cyber-security applications, drawing on over 30 years of experience in computational market mechanisms. Examine the intersection of artificial intelligence, game theory, and empirical analysis to better understand how AI systems behave in complex interactive scenarios where strategic considerations are paramount.
