Machine Learning Street Talk (MLST) Prof. BERT DE VRIES - ON ACTIVE INFERENCE
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Nov 20, 2023 Bert de Vries, a professor at Eindhoven University, shares his expertise on intelligent autonomous agents. He discusses the principle of least action, its universal implications, and how it relates to optimizing energy in systems. Bert delves into active inference's role in ecosystems and engineering, particularly in adaptive technologies like hearing aids. He highlights the importance of probabilistic inference for the future of intelligence and explores challenges of implementing these concepts in real-world applications, emphasizing adaptability and innovation.
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Active Inference and Least Action
- Active inference is rooted in the principle of least action.
- This principle from Lagrangian mechanics provides a solid foundation for AI, engineering, and science.
Least Action and Equations of Motion
- The principle of least action minimizes energy differences, leading to equations of motion.
- These equations describe various phenomena, including information processing in biological systems.
Autonomous Driving Example
- Bert de Vries uses an autonomous driving example to explain active inference challenges.
- He highlights the need for dynamic resource allocation for Kalman filters tracking multiple objects.
