Testing Bottom-Up Models of Complex Citation Networks.
The robust behavior of the patent citation network is a complex target of recent bottom-up models in science. This paper investigates the purpose and testing of three especially simple bottom-up models of the citation count distribution observed in the patent citation network. The complex causal web...
| Publicado en: | Philosophy of Science Vol. 81; no. 5; pp. 1131 - 1144 |
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| Formato: | Artículo |
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Cambridge University Press
Dec2014
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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=99660752&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 99660752 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2014 vid: 81 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 99660752 10.1086/677700 ppf: 1131 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 316KB tig: atl: Testing Bottom-Up Models of Complex Citation Networks. aug: au: Bedau, Mark A. su: Scientific models Patents Epistemics Theory of knowledge Philosophy of science sug: subj: Scientific models Patents Epistemics Theory of knowledge Philosophy of science ab: The robust behavior of the patent citation network is a complex target of recent bottom-up models in science. This paper investigates the purpose and testing of three especially simple bottom-up models of the citation count distribution observed in the patent citation network. The complex causal webs in the models generate weakly emergent patterns of behavior, and this explains both the need for empirical observation of computer simulations of the models and the epistemic harmlessness of the resulting epistemic opacity. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press 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: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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