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History by algorithmsAI and the future of historical research /

Record Type:	Electronic resources : Monograph/item
Title/Author:	History by algorithmsby 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.
Contained By:	Springer Nature eBook
Subject:	HistoryData processing.
Online resource:	https://doi.org/10.1007/978-3-031-93627-2
ISBN:	9783031936272$q(electronic bk.)

History by algorithmsAI 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$q(electronic bk.)

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

544739
History
--Data processing.

LC Class. No.: D16.12

Dewey Class. No.: 900.28563

History by algorithmsAI and the future of historical research /
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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.
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