Abstract
Suppose we want to describe a given object by a finite binary string. We do not care whether the object has many descriptions; however, each description should describe but one object. From among all descriptions of an object we can take the length of the shortest description as a measure of the object's complexity. It is natural to call an object ‘simple’ if it has at least one short description, and to call it ‘complex’ if all of its descriptions are long.
Keywords
- Turing Machine
- Minimum Description Length
- Kolmogorov Complexity
- Bernoulli Process
- Universal Distribution
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Li, M., Vitányi, P. (2008). Inductive Reasoning. In: An Introduction to Kolmogorov Complexity and Its Applications. Texts in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49820-1_5
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DOI: https://doi.org/10.1007/978-0-387-49820-1_5
Publisher Name: Springer, New York, NY
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