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

8 42

On Parallels Between Shannon’s and Kolmogorov’s Information Theories (where the parallelism fails and why)

By Andrei Romashchenko

Two versions of information theory - the theory of Shannon's entropy and the theory of Kolmgorov complexity - have manifest similarities in the basic definitions as well as in deep technical theorems. The interplay between these two theories often lead to remarkable insights. In the talk we will show different examples of this interplay concerning information inequalities and conditional encoding theorems, and discuss the limits of this parallelism.

Information about the video

Date of recording 02/02/2016
Date of publication 02/02/2016
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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