AN ALGORITHMIC INFORMATION THEORY CHALLENGE TO INTELLIGENT DESIGN.
William Dembski claims to have established a decision process to determine when highly unlikely events observed in the natural world are due to Intelligent Design. This article argues that, as no implementable randomness test is superior to a universal Martin-Löf test, this test should be used to re...
| Publicado en: | Zygon: Journal of Religion & Science Vol. 49; no. 1; pp. 42 - 66 |
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| Formato: | Artículo |
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Open Library of Humanities
Mar2014
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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=hlh&AN=94610922&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 94610922 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 05912385 ZYG jtl: Zygon: Journal of Religion & Science issn: 05912385 maglogo: N pubinfo: dt: Mar2014 vid: 49 iid: 1 pid: 15576 pub: Open Library of Humanities artinfo: ui: 94610922 10.1111/zygo.12059 ppf: 42 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P size: 146KB tig: atl: AN ALGORITHMIC INFORMATION THEORY CHALLENGE TO INTELLIGENT DESIGN. aug: au: Devine, Sean su: Intelligent design (Teleology) Information theory Dembski, William Natural theology Philosophy of nature Thermodynamics sug: subj: Intelligent design (Teleology) Information theory Dembski, William Natural theology Philosophy of nature Thermodynamics keyword: algorithmic entropy algorithmic information theory fourth law of thermodynamics Intelligent Design randomness test ab: William Dembski claims to have established a decision process to determine when highly unlikely events observed in the natural world are due to Intelligent Design. This article argues that, as no implementable randomness test is superior to a universal Martin-Löf test, this test should be used to replace Dembski's decision process. Furthermore, Dembski's decision process is flawed, as natural explanations are eliminated before chance. Dembski also introduces a fourth law of thermodynamics, his 'law of conservation of information,' to argue that information cannot increase by natural processes. However, this article, using algorithmic information theory, shows that this law is no more than the second law of thermodynamics. The article concludes that any discussions on the possibilities of design interventions in nature should be articulated in terms of the algorithmic information theory approach to randomness and its robust decision process. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Zygon: Journal of Religion & Science is the property of Open Library of Humanities and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Zygon: Journal of Religion & Science holder: Open Library of Humanities dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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