Algorithmic probability - an insight

Our CTO Cristiano gives an insight into Algorithmic probability. He covers the following:
00:05 Definition of induction
04:54 Why is induction useful?
06:36 The holy grail of induction: one algorithm for all induction problems
07:12 Philosophical solutions to induction: Occam's razor, Epicurus's principle of multiple explanations, Bayes' theorem
10:05 Ray Solomonoff's solution: quantitative combination of philosophical solutions
22:49 The universal a priori probability
24:36 Solomonoff's main result
35:17 Issue: the universal prior is incomputable
37:30 Some examples of approximations

Please let us know your thoughts.

If you are interested in delving deeper, here are some links that may help you:
Ray Solomonoff's paper on Algorithmic Probability: http://www.raysolomonoff.com/publicat...
A book on Kolmogorov complexity: https://www.springer.com/gb/book/9780...
A Wikipedia article on UTM: https://en.wikipedia.org/wiki/Univers...
A Wikipedia article on Bayes' Theorem: https://en.wikipedia.org/wiki/Bayes%2...
A Wikipedia article on AIXI: https://en.wikipedia.org/wiki/AIXI

Credit: Music composed by Gabriel Solarino
  / gabriele-solarino-81a44416  

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