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THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]
Machine Learning Street Talk (MLST)
The Role of Maximizing Marginal Likelihood applied through the Markov blanket
Measuring devices or our senses combine different states of the world to create a simple summary/nInner processes are hidden behind the Markov blanket and only the behavior and sensory impressions are observable/nThe goal is to find the most accurate and simple explanation for sensory impressions/nCompression and course-graining emerge from maximizing the marginal likelihood of sensory exchanges
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