#67 Prof. KARL FRISTON 2.0
Machine Learning Street Talk (MLST) - Un pódcast de Machine Learning Street Talk (MLST)
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We engage in a bit of epistemic foraging with Prof. Karl Friston! In this show; we discuss the free energy principle in detail, also emergence, cognition, consciousness and Karl's burden of knowledge! YT: https://youtu.be/xKQ-F2-o8uM Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud [00:00:00] Introduction to FEP/Friston [00:06:53] Cheers to Epistemic Foraging! [00:09:17] The Burden of Knowledge Across Disciplines [00:12:55] On-show introduction to Friston [00:14:23] Simple does NOT mean Easy [00:21:25] Searching for a Mathematics of Cognition [00:26:44] The Low Road and The High Road to the Principle [00:28:27] What's changed for the FEP in the last year [00:39:36] FEP as stochastic systems with a pullback attractor [00:44:03] An attracting set at multiple time scales and time infinity [00:53:56] What about fuzzy Markov boundaries? [00:59:17] Is reality densely or sparsely coupled? [01:07:00] Is a Strong and Weak Emergence distinction useful? [01:13:25] a Philosopher, a Zombie, and a Sentient Consciousness walk into a bar ... [01:24:28] Can we recreate consciousness in silico? Will it have qualia? [01:28:29] Subjectivity and building hypotheses [01:34:17] Subject specific realizations to minimize free energy [01:37:21] Free will in a deterministic Universe The free energy principle made simpler but not too simple https://arxiv.org/abs/2201.06387
