2003
DOI: 10.1007/978-1-4471-0015-7
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The LIMITS of MATHEMATICS

Abstract: with "Subject: get 9407003". AIT deals with program-size complexity. I define the complexity H(X) of an object X to be the size in bits of the smallest program that can calculate X. Up to now, to get elegant mathematical properties for this complexity measure H(X), I had to measure the size of programs for an abstract universal Turing machine. This gave the right mathematical properties, but it was not a programming language that anyone could actually use. Now I have found a way to obtain the correct program-s… Show more

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Cited by 26 publications
(29 citation statements)
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“…Those interested in that equivalence may read, for example, the second section (pp. 129-133), "Proof that Martin-Löf randomness is equivalent to Chaitin randomness" in Part III of Chaitin's book cited above [1].…”
Section: Numerical Results Of Particular Interestmentioning
confidence: 99%
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“…Those interested in that equivalence may read, for example, the second section (pp. 129-133), "Proof that Martin-Löf randomness is equivalent to Chaitin randomness" in Part III of Chaitin's book cited above [1].…”
Section: Numerical Results Of Particular Interestmentioning
confidence: 99%
“…Similarly, as seen below, if an m-ary string is considered to be highly random (in naïve but intuitive terms, for now), it will not be too regular. For an alternative and clearly dichotomic approach, see [2] and [1], for example.…”
Section: Introductionmentioning
confidence: 99%
“…Truth as a control mechanism is arrived at first in the interaction, based on propositional knowledge, between several agents (inter-subjective consensus about knowledge) or in the relationship between different pieces of propositional knowledge that an agent possess and can reason about. In the sense of Chaitin's "truth islands" [88], some well-defined parts of reality can be organized and systematized in such a way that truth may be well-defined within those sets, via inter-agent communication. For an agent, meaning is a more fundamental phenomenon than truth, and both must be possible to express in terms of models [83]:…”
Section: Søren Brier In His the Cybersemiotic Framework As A Means Tomentioning
confidence: 99%
“…The Kolmogorov complexity (also known as Kolmogorov-Chaitin complexity, stochastic complexity, and algorithmic entropy) of an object is a measure of the computational resources needed to specify the object [19,26,8]. In other words, the complexity of a string is the length of the string's shortest description in some fixed description language.…”
Section: Example 3 (Stochastic Signals Coding and Kolmogorov Complementioning
confidence: 99%