Algorithmic Probability and Sequential Decision Theory: Revision history

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24 December 2023

  • curprev 01:4201:42, 24 December 2023‎ SatoshiNakamoto talk contribs‎ 1,334 bytes +1,334‎ Created page with "Title: Algorithmic Probability and Sequential Decision Theory Research Question: How can we develop a universal and optimal model for artificial intelligence that can learn and make decisions effectively in any computable environment? Methodology: The authors propose a unified theory that combines decision theory and universal induction. They call this model AI ξ. They claim that AI ξ behaves optimally in any computable environment. To make the model computationally..."
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