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010 a| 2022043890;

020 a| 9781032316802q| (hardback);

020 a| 9781032316819q| (paperback);

020 z| 9781003310860q| (ebook);

035 a| (WaSeSS)ssj0002716871;

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050 00 a| D16.12b| .N364 2023;

082 00 a| 902.852| 23/eng/20221024;

100 1 a| Nanetti, Andrea.?| UNAUTHORIZED;

245 10 a| Computational engineering of historical memoriesh| [electronic resource] :b| with a showcase on Afro-Eurasia (ca 1100-1500 CE) /c| Andrea Nanetti.;

246 3 a| Computational EHM, with a showcase on Afro-Eurasia (ca 1100-1500 CE);

260 a| Abingdon, Oxon ;a| New York, NY :b| Routledge,c| 2023.;

263 a| 2302;

300 a| volumes cm;

504 a| Includes bibliographical references and index.;

505 0 a| Computational engineering of historical memories -- Historians and computers -- History, films, and online video screening -- Languages and cultures at the computational turn -- EHM showcase on Afro-Eurasia (ca 1100-1500 CE).;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Historyx| Data processing.=| ^A279836;

650 0 a| History in motion picturesx| Data processing.=| ^A1133316;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Artificial intelligence.=| ^A15394;

650 0 a| Collective memory.=| ^A707551;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003310860;

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Computational engineering of historical memories with a showcase on Afro-Eurasia (ca 1100-1500 CE) / Andrea Nanetti.

Author/creator	Nanetti, Andrea
Format	Electronic
Publication Info	Abingdon, Oxon ; New York, NY : Routledge, 2023.
Description	volumes cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	History--Data processing. History in motion pictures--Data processing. Machine learning. Artificial intelligence. Collective memory.

Variant title	Computational EHM, with a showcase on Afro-Eurasia (ca 1100-1500 CE)
Contents	Computational engineering of historical memories -- Historians and computers -- History, films, and online video screening -- Languages and cultures at the computational turn -- EHM showcase on Afro-Eurasia (ca 1100-1500 CE).
Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022043890
ISBN	9781032316802 (hardback)
ISBN	9781032316819 (paperback)
ISBN	(ebook)

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Computational engineering of historical memories with a showcase on Afro-Eurasia (ca 1100-1500 CE) / Andrea Nanetti.

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