Abstract
The
study of cultural evolution has taken on an increasingly
interdisciplinary and diverse approach in explicating phenomena of
cultural transmission and adoptions. Inspired by this computational
movement, this study uses Bayesian networks analysis, combining both the
frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC)
approach, to investigate the highly representative elements in the
cultural evolution of a Vietnamese city's architecture in the early 20th
century. With a focus on the façade design of 68 old houses in Hanoi's
Old Quarter (based on 248 photos and 78 data lines), the study argues
that it is plausible to look at the aesthetics, architecture, and
designs of the house façade to find traces of cultural evolution in
Vietnam, which went through more than six decades of French colonization
and centuries of sociocultural influence from China. The in-depth
technical analysis, though refuting the presumed model on the
probabilistic dependency among the variables, yields several results,
the most notable of which is the strong influence of Buddhism over the
decorations of the house façade. Particularly, in the top 5 networks
with the best Bayesian Information Criterion (BIC) scores and small p-values,
the variable for decorations (DC) always has a direct probabilistic
dependency on the variable B for Buddhism. The paper then discusses
these findings and suggests integrating Bayesian statistics in social
sciences in general and for studies of cultural evolution and
architectural transformation in particular.
Keywords
Cultural evolution
Hanoi architecture
Old quarter
House façade
Buddhism
Franco-Chinese style
French colonialism
Bayesian network
Hamiltonian Markov chain Monte Carlo
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