Low Complexity, Low Probability Patterns and Consequences for Algorithmic Probability Applications by Mohammad Alaskandarani, Kamaludin Dingle

“…Some mechanisms causing low complexity, low probability behaviour are identified, and we argue this behaviour should be assumed as a default in the real-world algorithmic probability studies. Additionally, we examine some applications of algorithmic probability and discuss some implications of low complexity, low probability patterns for several research areas including simplicity in physics and biology, a priori probability predictions, Solomonoff induction and Occam’s razor, machine learning, and password guessing.…”
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A Computable Measure of Algorithmic Probability by Finite Approximations with an Application to Integer Sequences by Fernando Soler-Toscano, Hector Zenil

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