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Active Inference Insights
Lance Da Costa ~ Active Inference Insights 010 ~ Mathematics, Time, Selfhood
Apr 30, 2024
Mathematician Lance Da Costa delves into world and self models in active inference, stochastic differential equations, solenoidal flows in living systems, recognition density, meditation attention, prior beliefs, and cutting-edge vision technology in this insightful podcast.
01:30:14
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Quick takeaways
- Solongial and gradient flows in the Langevin equation are linked to time-irreversibility and entropy production, showcasing the complexity of dynamic systems.
- Detailed balance and the impact of solongial flows emphasize the dissipative nature of systems with life-like characteristics, shedding light on entropy production.
Deep dives
Solongial and gradient flows decomposition
Solongial and gradient flows are mathematical concepts that decompose the flow in the Langevin equation. Solongial flow entails motion around the contours of a probability distribution, without approaching or moving away from its peak. On the other hand, gradient flow involves motion towards or away from the peak of the distribution. Solongial flow is time-irreversible and linked to entropy production, while gradient flow relates to motion towards preferred or expected states.
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