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The Universe Inside: Intelligence from Cells to Galaxies - Dr. Michael Levin, DSPod #213
The DemystifySci Podcast
Understanding Dynamics and Implications of Algorithms in Biology
Algorithms in biology, like in other fields, require an understanding of the dynamics that emerge from them. It's important to consider not only the lowest level of description but also to predict phenomena ahead of time. The idea of surprise minimization, based on Carl Fristen's framework, suggests that cells may want to cluster together to minimize joint free energy. This behavior arises not from explicit mechanisms but from an emergent property. This insight aligns with the application of the active inference framework to particles, indicating that explicit mechanisms may not always be necessary for certain biological phenomena.
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