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| Content Provider | Springer Nature Link |
|---|---|
| Author | Tadaki, Kohtaro |
| Copyright Year | 2011 |
| Abstract | In 1975 Chaitin introduced his $$Ω$$ number as a concrete example of random real. The real $$Ω$$ is defined based on the set of all halting inputs for an optimal prefix-free machine U, which is a universal decoding algorithm used to define the notion of program-size complexity. Chaitin showed $$Ω$$ to be random by discovering the property that the first n bits of the base-two expansion of $$Ω$$ solve the halting problem of U for all binary inputs of length at most n. In this article, we introduce a new variant $$Θ$$ of Chaitin $$Ω$$ number. The real $$Θ$$ is defined based on the set of all compressible strings. We investigate the distribution of compressible strings and show that $$Θ$$ is random. In addition, we generalize $$Θ$$ to $$Θ(Q, R)$$ with reals Q, R > 0 and study its properties. In particular, we show that the computability of the real $$Θ(T,\,1)$$ gives a sufficient condition for a real T ∈ (0, 1) to be a fixed point for partial randomness, i.e., to satisfy that the compression rate of T equals to T. |
| Starting Page | 117 |
| Ending Page | 128 |
| Page Count | 12 |
| File Format | |
| ISSN | 15677818 |
| Journal | Natural Computing |
| Volume Number | 11 |
| Issue Number | 1 |
| e-ISSN | 15729796 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2011-08-21 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Algorithmic information theory Algorithmic randomness Chaitin $$Ω$$ number Compressible string Fixed point Partial randomness Program-size complexity Evolutionary Biology Theory of Computation Artificial Intelligence (incl. Robotics) Processor Architectures Statistical Physics, Dynamical Systems and Complexity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications |
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