Philosophy Dictionary of Arguments

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Self-replication: Self-replication in cybernetics refers to a system's capacity to autonomously create copies of itself by utilizing information from its environment. See also Cybernetics, Robots, Artificial Intelligence, Complexity, Levels/order.
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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

Francis Crick on Self-Replication - Dictionary of Arguments

Brockman I 56
Self-replication/Crick/Brooks: Francis Crick and James Watson (…) showed, in 1953(1), how (…) a tape could be instantiated in biology by a long DNA molecule with its finite alphabet of four nucleobases: guanine, cytosine, adenine, and thymine (G, C, A, and T). As in von Neumann’s machine (>Self replication/Neumann), in biological reproduction the linear sequence of symbols in DNA is interpreted - through transcription into RNA molecules, which are then translated into proteins, the structures that make up a new cell - and the DNA is replicated and encased in the new cell.


1. Crick, F, Watson J. “A Structure for Deoxyribose Nucleic Acid,” Nature 171 (1953): 737-38.


Brooks, RA. “The inhuman mess our machines have gotten us into” 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.
Crick, Francis
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 2024-04-20
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