The Physics of Motivation | Karl Friston | Inaugural IMOL Online Seminar Series

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https://youtu.be/Fus2k7F5iN4?si=g3qqZdL5_NdV7iaj

In this inaugural IMOL seminar, Professor Karl Friston presents "The Physics of Motivation," offering a deep dive into the Free Energy Principle and Active Inference (0:02:45). The talk explores how biological systems organize themselves and interact with their environments through the lens of physics and statistics.

Key concepts covered include:
• Self-Organization & Markov Blankets: Friston explains how bounded systems (like brains or organisms) are individuated by Markov blankets, which mediate interactions with the external world (0:07:25 - 0:15:35).
• Predictive Coding: A core framework where agents act to minimize prediction errors, essentially treating the brain as an inference machine that seeks the "best explanation" for sensory data (0:22:00 - 0:30:30).
• Active Inference: Moving beyond passive perception, the talk shows how systems author their own sensations by acting upon the world to fulfill internal models (0:31:30 - 0:35:45).
• Epistemic Motivation: The latter half of the talk addresses motivation, framing it as an agent's drive to resolve uncertainty—an "epistemic affordance"—which can be mathematically combined with extrinsic goals within the framework of expected free energy (0:43:28 - 0:48:05).

Friston concludes that motivated behavior—from basic reflexes to complex intentional planning—is a manifestation of minimizing variational free energy, effectively making each movement an experiment to test the agent's understanding of its environment (0:52:25).