Algorithms and stories.
For most of human history, human knowledge was considered to be something that was stored and captured by words. This began to change when Galileo said that the book of nature is written in the language of mathematics. Today, Dan Dennett and many others argue that all genuine scientific knowledge is...
| Publicado en: | Human Affairs Vol. 23; no. 4; pp. 633 - 645 |
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| Formato: | Artículo |
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De Gruyter
Oct2013
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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=100633599&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 100633599 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12103055 H2H jtl: Human Affairs issn: 12103055 maglogo: N pubinfo: dt: Oct2013 vid: 23 iid: 4 pid: 1734 pub: De Gruyter artinfo: ui: 100633599 10.2478/s13374-013-0154-0 ppf: 633 ppct: 12 formats: tig: atl: Algorithms and stories. aug: au: Teed Rockwell, W. affil: Sonoma State University su: Algorithms Machine theory Dennett, Daniel Clement, 1942- Computer programming Mathematics education sug: subj: Algorithms Machine theory Dennett, Daniel Clement, 1942- Computer programming Mathematics education keyword: algorithms anthropology Churchland Dennett deployment Dewey James Lakoff literature neurophilosophy neuroscience pedagogy prototype science and the humanities simulation semantics stories theology ab: For most of human history, human knowledge was considered to be something that was stored and captured by words. This began to change when Galileo said that the book of nature is written in the language of mathematics. Today, Dan Dennett and many others argue that all genuine scientific knowledge is in the form of mathematical algorithms. However, recently discovered neurocomputational algorithms can be used to justify the claim that there is genuine knowledge which is non-algorithmic. The fact that these algorithms use prototype deployment, rather than mathematics or logic, gives us good reason to believe that there is a kind of knowledge that we derive from stories that is different from our knowledge of algorithms. Even though we would need algorithms to build a system that can make sense out of stories, we do not need to use algorithms when we ourselves embody a system that learns from stories. The success of the Galilean perspective in the physical sciences has often resulted in an attempt to mathematize the humanities. I am arguing that the dynamic neurocomputational perspective can give us a better understanding of how we get knowledge and wisdom from the stories told by disciplines such as Literature, History, Anthropology and Theology. This new neurological data can be used to justify the traditional pedagogy of these disciplines, which originally stressed the telling of stories rather than the learning of algorithms. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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