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History by algorithms = AI and the f...

Lotker, Zvi.

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History by algorithms = AI and the future of historical research /

Record Type:	Electronic resources : Monograph/item
Title/Author:	History by algorithms/ by Zvi Lotker.
Reminder of title:	AI and the future of historical research /
Author:	Lotker, Zvi.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxxiv, 353 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	History - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-031-93627-2
ISBN:	9783031936272

History by algorithms = AI and the future of historical research /
Lotker, Zvi.

History by algorithmsAI and the future of historical research /[electronic resource] :by Zvi Lotker. - Cham :Springer Nature Switzerland :2025. - xxxiv, 353 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783031936272

Standard No.: 10.1007/978-3-031-93627-2doiSubjects--Topical Terms:

3501217
History
--Data processing.

LC Class. No.: D16.12

Dewey Class. No.: 900.28563

History by algorithms = AI and the future of historical research /
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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.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxxiv, 353 p. : $b ill. (some col.), digital ; $c 24 cm.
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.
650 0 $a History $x Data processing. $3 3501217
650 0 $a History $x Research. $3 631091
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Mathematics in the Humanities and Social Sciences. $3 1565599
650 2 4 $a Theories of History. $3 3604407
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computational Linguistics. $3 893900
650 2 4 $a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. $3 3538811
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950 $a Mathematics and Statistics (SpringerNature-11649)