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Modelling the longevity of complex living systems

Authors :
Žliobaitė, Indrė
Publication Year :
2024

Abstract

This extended abstract was presented at the Nectar Track of ECML PKDD 2024 in Vilnius, Lithuania. The content supplements a recently published paper "Laws of Macroevolutionary Expansion" in the Proceedings of the National Academy of Sciences (PNAS).

Subjects

Subjects :
Quantitative Biology - Populations and Evolution
Computer Science - Machine Learning
Quantitative Biology - Quantitative Methods
Statistics - Applications

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2410.02838
Document Type :
Working Paper

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