Alea iacta est! Understanding historical dynamics using Monte Carlo simulations” wtih Xavier-Rubio Campillo, researcher at Barcelona Supercomputing Center - @xrubiocampillo
1. 1
Alea Iacta Est!
Understanding historical dynamics using Monte Carlo simulations
Xavier Rubio Campillo
xavier.rubio@bsc.es
@xrubiocampillo
@DataBeersBCN
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3. 3
Understanding human culture
Gray, R. D.; Atkinson, Q.D. (2003) "Language-tree divergence times support the
Anatolian theory of Indo-European origin." Nature 426.6965: 435-439
9. Can we test this hypothesis?
"Vauban reversed the dominance of the trace italienne and
overturned the pattern of long sieges of early centuries"
Ostwald, J. (2007). Vauban under siege. Engineering efficiency and Martial Vigor in the War of the
Spanish Succession, Brill Academic.
11. 1. Formalise hypotheses
During the period 1702-1714...
H1 – The duration of sieges increased
H2 – The duration of sieges decreased
H3 – The uncertainty of sieges increased
H4 – The uncertainty of sieges decreased
12. 2. Define a model
For each year between 1702-
1714
Sample the number of sieges
For each siege sample its
duration
Add to the mean/variance of
duration some fixed value
14. 4. The dice are cast!
Execute the model with randomly sampled values from your
prior:
run 152112:
mean duration modifier = +1.5
variance duration modifier = -0.3
15. 5. Approximate Bayesian Computation
Execute this algorithm for millions of runs
Store the parameters for the 1k runs with most similar output
to historical data
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Moltes gràcies!
Xavier Rubio Campillo
xavier.rubio@bsc.es
@xrubiocampillo