Unknowability in Mathematics, Biology, and Physics.
The article focuses on mathematical field dealing with unknowability is algorithmic information theory and halting probability Omega, which is defined as the probability that a self-contained computer program chosen at random will eventually halt. It mentions random mutations and natural selection a...
| Publicado en: | Social Research Vol. 87; no. 1; pp. 107 - 112 |
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| Formato: | Artículo |
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Johns Hopkins University Press
Spring2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=144506269&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 144506269 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0037783X SRE jtl: Social Research issn: 0037783X maglogo: N pubinfo: dt: Spring2020 vid: 87 iid: 1 pid: 226 pub: Johns Hopkins University Press artinfo: ui: 144506269 ppf: 107 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P size: 297KB tig: atl: Unknowability in Mathematics, Biology, and Physics. aug: au: Chaitin, Gregory J. su: Information theory Natural selection Computer simulation Applied mathematics Computer programming Biosphere Systems biology sug: subj: Information theory Natural selection Computer simulation Other Computer Related Services Custom Computer Programming Services Computer systems design and related services (except video game design and development) Applied mathematics Computer programming Biosphere Systems biology ab: The article focuses on mathematical field dealing with unknowability is algorithmic information theory and halting probability Omega, which is defined as the probability that a self-contained computer program chosen at random will eventually halt. It mentions random mutations and natural selection are enough to account for the richness and diversity of biosphere. It also mentions developed field called systems biology that deals with computer simulations of complex biological systems. It discusses impossibility of a fundamental mathematical theory dealing with the effect of random mutations on natural software. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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