History by Algorithms AI and the Future of Historical Research /
This book offers a first step towards getting machines to understand history in terms of analysing historical narratives. It uses computational intelligence and history texts as keys to ask different questions than have been asked about our human history so far. The book is divided into three main p...
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| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Editie: | 1st ed. 2025. |
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| Online toegang: | https://doi.org/10.1007/978-3-031-93627-2 |
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| 245 | 1 | 0 | |a History by Algorithms |h [electronic resource] : |b AI and the Future of Historical Research / |c by Zvi Lotker. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XXXIV, 353 p. 123 illus.). |b 114 illus. in color. | ||
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| 505 | 0 | |a Introduction -- Asymptotics in Digital Humanities -- Function Diagrams in Digital Humanities -- History of War -- History Through Clocks -- Networks and Macrohistory -- Networks Microhistory -- What Is a Computational Model for History -- History through the Core -- History after the Death of the Witnesses -- History while the Witnesses are Still Alive -- Propaganda in History -- Stochastic terrorism -- Historian Machine -- Information and History -- Machine Learning and History -- Representing Historical Information -- Fake History. | |
| 520 | |a This book offers a first step towards getting machines to understand history in terms of analysing historical narratives. It uses computational intelligence and history texts as keys to ask different questions than have been asked about our human history so far. The book is divided into three main parts. The first part discusses the mathematical language of history, the second part uses simple models to analyse historical laws written in mathematical language, and the third part discusses the impact of general Large Language Models (LLMs) on the study of history. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, keyboard-friendly links and forms, and searchable, selectable text. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Please Note that a more accessible version of this eBook is available as an EPUB. | |
| 532 | 8 | |a Inaccessible, or known limited accessibility | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Mathematics. | |
| 650 | 0 | |a Social sciences. | |
| 650 | 0 | |a History |x Methodology. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Social sciences |x Statistical methods. | |
| 650 | 1 | 4 | |a Mathematics in the Humanities and Social Sciences. |
| 650 | 2 | 4 | |a Theories of History. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computational Linguistics. |
| 650 | 2 | 4 | |a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. |
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