Fr. 198.00

History by Algorithms - AI and the Future of Historical Research

English · Hardback

Will be released 25.09.2025

Description

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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.

List of contents

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.

Summary

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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