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The University of Michigan's Artificial Intelligence (AI) program brings together researchers from various fields who explore intelligent systems through theoretical, experimental, and practical approaches. Ongoing initiatives span diverse areas such as decision-making processes, multi-agent systems, machine learning techniques, reinforcement learning models, cognitive simulations, game theory applications, language processing technologies, perceptual computing, medical AI solutions, and robotic systems. The AI lab's work is inherently cross-disciplinary, drawing concepts from computing science, language studies, behavioral science, economic theory, biological systems, control engineering, statistical methods, and philosophical inquiry. Faculty and students regularly collaborate with peers across campus, fostering a dynamic exchange of knowledge that enriches all research teams through this shared, multifaceted approach.