Computability, Randomness and Applications
June 20 – 24, 2016
The goal of algorithmic randomness is to give a precise meaning to the notion of random individual object, using tools from computability theory. Initiated by Chaitin, Kolmogorov and Solomonoff in the 1960s, it has flourished considerably since the early 2000s. The recent advances of the field are starting to find applications in other areas of mathematics and computer science: information theory, computable analysis, proof theory and reverse mathematics, etc. The aim of this conference is to promote the various applications of algorithmic randomness and more generally of computability theory to other research areas, by bringing together researchers from these areas and computability theorists.
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Scientific & Organizing Committee
Laurent Bienvenu (Université Paris Diderot) Speakers
Independence of normal words
Random numbers as probabilities of machine behaviour
Density-1-bounding and quasiminimality in the generic and coarse degrees
The Computational Power of Sets of Random Strings
Zero sets and local time of algorithmically random Brownian motion
Carleson’s Theorem and Schnorr randomness
On the algorithmics of entropy of computable metric spaces
On the periodicity of multidimensional words of low complexity
Borel isomorphism and computability
A derivation on the field of d.c.e.reals
On totally omega-c.e. degrees and complex left-c.e.reals
A resolution of the Gamma question
Randomness connecting to set theory and to reverse mathematics
Gambling against some odds
On centauric subshifts
Ultralimits anc computability
On Block Pumpable Languages
Turing degree spectra of minimal subshifts
Seas of squares
On higher Friedman’s conjecture |