SOURCE-LINKED INTELLIGENCE

The Lost Manuscripts of Medieval Europe: Modelling the Transmission of Texts

CORDIS · observation · Publication date unknown

the role of random drift in the survival or extinction of genetic traits and species. To investigate this question, this project will attempt a paradigm-shift in philological methods, by combining artificial intelligence, complexity science and philological expertise. Stochastic birth-and-death processes and computer multi-agent simulations will be used to emulate the process of textual transmission. A case study will be taken, regarding chivalric literature in European context. Supported by deep learning methods, large-scale data collection will be made on a corpus of 4000 documents in Romance, Germanic and Celtic languages, with a full-text zoom on approx. 1000 Old French manuscripts. Data will provide observable values to be compared to simulation results, in order to measure deviations from chance, make inferences on non observable values such as loss/survival rates of works and manuscripts, and understand the dynamics at work behind the transmission of texts. ERC ver 1.00 20210323, Philology, History of Texts, Digital Humanities, Complex Systems, Evolutionary Models, Co

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recordType

award

status

SIGNED

region

EU

value

1499235

unit

EUR