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.
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.
Zvi Lotker is Associate Professor in the Faculty of Engineering at Bar-Ilan University, Israel since 2018. He graduated with a double B.Sc. in Mathematics, Computer Science, and Industrial Engineering, from Ben Gurion University in 1991. In 1997, he obtained an M.Sc. in Mathematics, and in 2003, obtained his Ph.D. in Distributed Algorithms, both from Tel Aviv University. He was Postdoctoral Fellow at the CWI in Amsterdam, MPI in Saarbrücken Germany, and Mascotte in Nice France from 2003 to 2006. He was Associate Professor in the Communication Systems Engineering department at Ben Gurion University in Beer Sheva in the Communication Systems Engineering department from 2010 to 2020.His main research areas are communication networks, online algorithms, sensor networks, and recently, social networks.
