Computational Engineering of Historical Memories : With a Showcase on Afro-Eurasia (ca 1100-1500 CE)
Nanetti outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research.Historical events are the treasure of human experiences, the heritage that societies have used to remain resilient and express their identities. Nanetti has created and developed...
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Routledge
2022
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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=nlebk&AN=3384617&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 3384617 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Computational Engineering of Historical Memories : With a Showcase on Afro-Eurasia (ca 1100-1500 CE) aug: au: Andrea Nanetti isbn: 9781032316802 9781032316819 9781000802078 9781000802085 9781003310860 imageinfo: pubinfo: dt: @attributes: year: 2022 month: 01 day: 01 dtAvail: @attributes: year: 2023 month: 01 day: 13 pub: Routledge pubContract: Taylor & Francis (Unlimited) place: [S.l.] price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 907.21 item: 907 .21 lc: @attributes: class: D16.12 item: D 16 .12 artinfo: ui: 3384617 1331300127 formats: fmt: – @attributes: type: EB doid: NL$3384617$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$3384617$EPUB caption: EPUB download: Y tig: atl: Computational Engineering of Historical Memories : With a Showcase on Afro-Eurasia (ca 1100-1500 CE) ptl: Computational Engineering of Historical Memories aug: au: Andrea Nanetti su: Collective memory--Research--Methodology History--Research--Methodology History--Research--Data processing Collective memory--Research--Data processing Artificial intelligence sug: subj: HISTORY / General HISTORY / Study & Teaching SOCIAL SCIENCE / Regional Studies COMPUTERS / Data Science / Machine Learning Collective memory--Research--Methodology History--Research--Methodology History--Research--Data processing Collective memory--Research--Data processing Artificial intelligence ab: Nanetti outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research.Historical events are the treasure of human experiences, the heritage that societies have used to remain resilient and express their identities. Nanetti has created and developed an interdisciplinary methodology supported by practice-based research that serves as a pathway between historical and computer sciences to design and build computational structures that analyse how societies create narratives about historical events. This consilience pathway aims to make historical memory machine-understandable. It turns history into a computational discipline through an interdisciplinary blend of philological accuracy, historical scholarship, history-based media projects, and computational tools. Nanetti presents the theory behind this methodology from a humanities perspective and discusses its practical application in user interface and experience.An essential read for historians and scholars working in the digital humanities. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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