Journal of Computer Applications in Archaeology (Feb 2024)

The Past as a Stochastic Process

  • David H. Wolpert,
  • Michael H. Price,
  • Stefani A. Crabtree,
  • Timothy A. Kohler,
  • Jürgen Jost,
  • James Evans,
  • Peter F. Stadler,
  • Hajime Shimao,
  • Manfred D. Laubichler

DOI
https://doi.org/10.5334/jcaa.113
Journal volume & issue
Vol. 7, no. 1
pp. 134–152 – 134–152

Abstract

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Historical processes manifest remarkable diversity. Nevertheless, scholars have long attempted, with some success, to identify patterns and categorize historical actors and influences. A stochastic process framework provides a structured approach for the analysis of large historical datasets that allows for detection of sometimes surprising patterns, identification of relevant causal actors both endogenous and exogenous to the process, and comparison between different historical cases. The combination of data, analytical tools and the organizing theoretical framework of stochastic processes complements traditional narrative approaches in history and archaeology.

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