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The interplay between computability and randomness has been an active area of research in recent years, reflected by ample funding in the USA, numerous workshops, and publications on the subject. The complexity and the randomness aspect of a set of natural numbers are closely related. Traditionally, computability theory is concerned with the complexity aspect. However, computability theoretic tools can also be used to introduce mathematical counterparts for the intuitive notion of randomness of a set. Recent research shows that, conversely, concepts and methods originating from randomness enrich computability theory. The book covers topics such as lowness and highness properties, Kolmogorov complexity, betting strategies and higher computability. Both the basics and recent research results are desribed, providing a very readable introduction to the exciting interface of computability and randomness for graduates and researchers in computability theory, theoretical computer science, and measure theory.
This text investigates the mathematical intersection between computability theory and the formal definition of randomness in sets of natural numbers. André Nies, a recognized expert in mathematical logic, synthesizes decades of research to demonstrate how tools from computability theory provide a rigorous framework for defining randomness. The book argues that these two fields, traditionally viewed as distinct, are deeply intertwined and mutually reinforcing in their analytical methods.
What You Will Find
Scope Limits
Experts identify this work as a foundational reference for researchers and graduate students working at the intersection of logic and theoretical computer science. Readers frequently note the high level of technical density, which requires a solid grasp of formal logic and set theory to navigate effectively.
Page Count:
918
Publication Date:
2012-01-01
Publisher:
OUP Oxford
ISBN-10:
0191627887
ISBN-13:
9780191627880
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