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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	History by algorithms/ by Zvi Lotker.
其他題名:	AI and the future of historical research /
作者:	Lotker, Zvi.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxxiv, 353 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	History - Data processing. -
電子資源:	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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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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