Philosophy Dictionary of Arguments

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Noise: Noise in physics is any random disturbance of a signal. See also Information, Message, Media, Communication, Information theory, Signal.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.

 
Author Concept Summary/Quotes Sources

Claude Shannon on Noise - Dictionary of Arguments

Brockman I 163
Noise/Shannon/Gershenfeld: Shannon showed in 1948(1) that by communicating with symbols rather than continuous quantities, the behavior is very different.
>Symbols
, >Communication, >Analog/digital.
Converting speech waveforms to the binary values of 1 and O is an example, but many other sets of symbols can be (and are) used in digital communications. What matters is not the particular symbols but rather the ability to detect and correct errors.
Shannon found that if the noise is above a threshold (which depends on the system design), then there are certain to be errors. But if the noise is below a threshold, then a linear increase in the physical resources representing the symbol results in an exponential decrease in the likelihood of making an error in correctly receiving the symbol.
Such scaling falls off so quickly that the probability of an error can be so small as to effectively never happen. Each symbol sent multiplies rather than adds to the certainty, so that the probability of a mistake can go from 0.1 to 0.01 to 0.001, and so forth. This exponential decrease in communication errors made possible an exponential increase
Brockman I 164
In the capacity of communication networks.
>Networks.

1. Claude Shannon, A Mathematical Theory of Communication, Bell System Technical Journal (1948), Vol. 27/3

Gershenfeld, Neil „Scaling”, in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press.

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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.
Shannon, Claude
Brockman I
John Brockman
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019


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Ed. Martin Schulz, access date 2024-04-19
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