scholarly journals The Challenge and Value of applying ‘subjective interpretation’ with Bayesian network analysis in Arts and Cultures

2019 ◽  
Author(s):  
NGUYỄN Minh Hoàng ◽  
Le Tam Tri

Art and Culture are very important aspects of humanity. However, due to their abstract nature, attempts to quantify the value of such fields have been the challenges for the scientific community. Recently, a new work of Vuong et al. (2019) presents an approach that sheds light on the possibility of applying Bayesian networks analysis to clarify the connection between architecture, for example, the design of the house façade and cultural evolution in Vietnamese city in the early 20th century. The data were partly created through the 'subjective interpretation' of the cultural evolution in 68 Vietnamese old houses. The way applying 'subjective interpretation' with Bayesian analysis is challenging, but its value is worth a try.

2019 ◽  
Author(s):  
NGUYỄN Minh Hoàng

Art and Culture are very important aspects of humanity. However, due to their abstract nature, attempts to quantify the value of such fields have been the challenges for the scientific community. Recently, a new work of Vuong et al. (2019) presents an approach that sheds light on the possibility of applying Bayesian networks analysis to clarify the connection between architecture, for example, the design of the house façade and cultural evolution in Vietnamese city in the early 20th century.


2019 ◽  
Author(s):  
NGUYỄN Minh Hoàng

Art and Culture are very important aspects of humanity. However, due to their abstract nature, attempts to quantify the value of such fields have been the challenges for scientific community. Recently, a new work of Vuong et al. (2019) presents an approach that sheds light on the possibility of applying Bayesian networks analysis to clarify the connection between architecture, for example, the design of the house façade and cultural evolution in Vietnamese city in the early 20th century.


2019 ◽  
Vol 1 (1) ◽  
pp. 100001 ◽  
Author(s):  
Quan-Hoang Vuong ◽  
Quang-Khiem Bui ◽  
Viet-Phuong La ◽  
Thu-Trang Vuong ◽  
Manh-Toan Ho ◽  
...  

2021 ◽  
Author(s):  
H.L. Cu Si

One of the most seminal work on Vietnamese cultural evolution (the study of changes in culture that draws a lot of parallels to Darwinian biological evolution) is Cultural evolution in Vietnam's early 20th century: A Bayesian networks analysis of Hanoi Franco-Chinese house designs , which studied the architecture of multiple buildings of Hanoi’s Old Quarter and plotted them on a graph based on the probabilities that any given building would contain Buddhist, Chinese, and/or French decorations...


2019 ◽  
Author(s):  
Quan-Hoang Vuong ◽  
Bui Quang Khiem ◽  
Viet-Phuong La ◽  
Thu-Trang Vuong ◽  
Manh-Toan Ho ◽  
...  

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 78 data lines extracted from 248 photos), 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 p<0.05, the variable for decorations (DC) always has a direct probabilistic dependency on the variable B for Buddhism. The paper then checks the robustness of these models using Hamiltonian MCMC method and find the posterior distributions of the models’ coefficients all satisfy the technical requirement. Finally, this study suggests integrating Bayesian statistics in the social sciences in general and for the study of cultural evolution and architectural transformation in particular.


2019 ◽  
Author(s):  
Quan-Hoang Vuong ◽  
Bui Quang Khiem ◽  
Viet-Phuong La ◽  
Thu-Trang Vuong ◽  
Toan Manh Ho ◽  
...  

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 78 data lines extracted from 248 photos), 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 p<0.05, the variable for decorations (DC) always has a direct probabilistic dependency on the variable B for Buddhism. The paper then checks the robustness of these models using Hamiltonian MCMC method and find the posterior distributions of the models’ coefficients all satisfy the technical requirement. Finally, this study suggests integrating Bayesian statistics in the social sciences in general and for the study of cultural evolution and architectural transformation in particular.


2019 ◽  
Author(s):  
Bui Dieu Quynh

The mentioning of Hanoi – the capital city of Vietnam and the land of thousand years of civilization – depicts among both locals and tourists the image of the ‘Sword Lake’ with its ancient ‘Turtle Tower’ and the charming Old Quarter with its preserved shop-houses lying along small ancient commercial alleys. The houses in the old quarter constructed over a century ago which feature tube houses with inclined tile roofs and a blend of French architecture create the infusions of history and memory. One can easily find abundant research done on these townhouses, either in the collectibles of many authors, the quintessential drawings of talented painters, or in publications on the history of the Old Quarter. Among these, the recent work by Vuong et al. (2019) adds an extremely interesting view of the architectural features of Hanoi’s ancient townhouses as these features are viewed as dependent and independent variables. The study titled ‘Cultural evolution in Vietnam’s early 20th century: A Bayesian network analysis of Hanoi Franco- Chinese house designs’ aims to find traces of cultural evolution in the early 20th century in Vietnam and highlight the most notable elements that affect the Vietnamese people’s perception of cultural evolutions.


Author(s):  
Quan Hoang Vuong ◽  
Quang-Khiem Bui ◽  
Viet-Phuong La ◽  
Thu-Trang Vuong ◽  
Manh-Toan Ho ◽  
...  

2020 ◽  
Author(s):  
Le Tam Tri

Thoughts on the paper "Cultural evolution in Vietnam's early 20th century: A Bayesian networks analysis of Hanoi Franco-Chinese house designs" (Vuong et al., 2019)


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