Understanding Nonmodular Functionality: Lessons from Genetic Algorithms.
Evolution is often characterized as a tinkerer creating efficient but messy solutions. We analyze the nature of the problems that arise when trying to explain and understand cognitive phenomena created by this haphazard design process. We present a theory of explanation and understanding and apply i...
| Publicado en: | Philosophy of Science Vol. 80; no. 5; pp. 637 - 650 |
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| Autores principales: | , |
| Formato: | Artículo |
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Cambridge University Press
Dec2013
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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=93642184&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 93642184 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2013 vid: 80 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 93642184 10.1086/673866 ppf: 637 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 370KB tig: atl: Understanding Nonmodular Functionality: Lessons from Genetic Algorithms. aug: au: Kuorikoski, Jaakko Pöyhönen, Samuli su: Genetic algorithms Biological evolution Convenience sampling (Statistics) Cognitive science Evolutionary algorithms sug: subj: Genetic algorithms Biological evolution Convenience sampling (Statistics) Cognitive science Evolutionary algorithms ab: Evolution is often characterized as a tinkerer creating efficient but messy solutions. We analyze the nature of the problems that arise when trying to explain and understand cognitive phenomena created by this haphazard design process. We present a theory of explanation and understanding and apply it to a case problem--solutions generated by genetic algorithms. By analyzing the nature of solutions that genetic algorithms present to computational problems, we show, first, that evolutionary designs are often hard to understand because they exhibit nonmodular functionality and, second, that breaches of modularity wreak havoc on our strategies of causal and constitutive explanation. 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: 2013 holdings: @attributes: islocal: N |
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