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What is Simulator for Multi-Agent Systems Analysis about?

The document presents a literature review by the Autonomous and Intelligent Systems Group at KAIST, focusing on the challenges of causal relations and failure explanations in multi-agent systems. It outlines the development of a Python-based simulation framework for geometric deep learning and causal discovery, incorporating various modeling techniques and tools. Key topics include dynamical modeling, wind disturbance, GNSS degradation, causal discovery methods, and the application of geometric deep learnin

Author

lizujkaj

Language

EN