There are several historical approaches to algorithmic randomness, such as computable martingales, Kolmogorov complexity and Martin-Loff of randomness. Algorithmic randomness is also related to classical concepts, such as entropy (in the senses of Shannon and Boltzmann). The mathematics of this area is really quite deep. The kinds of questions include: How do we calibrate levels of randomness? Can we amplify weak random sources? Is randomness a provable computational resource? What kinds of power do random sources give us? And so on. Tools from this area can be used in many areas of mathematics and computer science, including the expected behaviour of algorithms, computational biology, ergodic theory, geometric measure theory, number theory and normality. The theme of the conference is algorithmic randomness and related topics in computability, complexity and logic, such as Kolmogorov complexity, computational complexity and reverse mathematics.
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The conference takes place at the
Georg-von-Vollmar AcademyKochel am See is beautifully located at Lake Kochel at the edge of the Bavarian Alps, approximately 70 km south of Munich, from where it can easily be reached by train (see below). See some panorama pictures of the Georg-von-Vollmar Academy. Accommodation for most participants of the conference will be available at the Georg-von-Vollmar Academy for a reasonable daily rate. Please note:
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