Group Formation by Group Joining and Opinion Updates Via Multi-Agent Online Gradient Ascent
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE(2023)
摘要
This article aims to exemplify best-response dynamics and multi-agent online learning by group formation. This extended abstract provides a summary of the full paper in IEEE Computational Intelligence Magazine on the special issue AI-eXplained (AI-X). The full paper includes interactive components to facilitate interested readers to grasp the idea of pure-strategy Nash equilibria and how the system of strategic agents converges to a stable state by the decentralized online gradient ascent with and without regularization.
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关键词
Heuristic algorithms,Nash equilibrium,Artificial intelligence,Multi-agent systems,Gradient methods
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