2016 - T1 - WS1 - Distributed computation and communication theme

Collection 2016 - T1 - WS1 - Distributed computation and communication theme

Organizer(s) Gács, Péter ; Körner, János ; Schulman, Leonard

Date(s) 01/02/2016 - 12/02/2016

linked URL https://web.archive.org/web/20221228152145/http://iss.bu.edu/bobak/csnexus//distcomp.html

00:00:00 / 00:00:00

5 42

Relation between monotonic complexity and algorithmic probability (2/2)

By Péter Gács

Some versions of Kolmogorov complexity are better suited than others when regarding finite sequences as starting segments of infinite sequences. Levin and Schnorr introduced monoton complexity, while Solomonoff and Levin introduced algorithmic probability, the distribution at the output of a universal monotonic machine reading a random coin-tossing input sequence. Monotonic complexity and the negative logarithm of algorithmic probability are very closely related, but can still be distinguished – as an old result of the author showed, using a game argument. The talk will survey the result and its proof, the significant improvement by Adam Day, and the open questions.

Information about the video

Date of recording 04/02/2016
Date of publication 25/02/2016
Institution IHP
Licence CC BY-NC-ND
Language English
Format MP4

Domain(s)

Computer Science

MSC codes

68Q30 Algorithmic information theory

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