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Table of Content

    28 June 2024, Volume 4 Issue 2
    Historical Game Studies as a New Direction in the Development of Digital History 
    Lu Yahuai
    2024, 4(2):  3-26. 
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    Historical Game Studies, a burgeoning new field, is increasingly attracting the attention of historians, including digital historians.By exploring Historical Game Studies as part of Digital History, reviewing the birth and evolution of the field, and summarizing the consensus and inspirations in the field, this paper tries to point out that our current Digital Historyis not a direct continuation of Quantitative History.Instead, it is based on the ideal of public history and the concern for media technology, and in this sense, Historical Game Studies could be considered as the continuation and expansion of Digital History.Historical Game Studies explores how video games as digital mass media, have changed the way historical knowledge is produced, disseminated, and received, as well as the public's historical consciousness, thus constitutes a window into the revolution of history in the digital age.Incorporating Historical Game Studies into digital historiography can help clarify the definition and scope of Digital History, and also provide the means to expand and deepen Digital History.
    The Intersections and Contradictions between Technologies and Humanities: A Conversation Predicated on the Comparative Horizon of Digital Humanities and Game Studies
    Fu Shanchao, Han Yuhua, Jiang Han, Li Xiaozhou, Liu Kairan, Lu Yahuai, Ye Zitao
    2024, 4(2):  27-41. 
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    A Digital Humanities Research Model for Chinese Export Paintings: A Case Study of the Victoria and Albert Museum Collection
    Gao Jin, Zhang Yangming, Wang Linminqing, Liu Jiawei
    2024, 4(2):  42-63. 
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    Chinese export paintings, made by Chinese artists between the 18th and 19th centuries, were specially for export to Europe and North America.These works blend Chinese and European painting techniques and include Chinese traditional customs, occupations, manufacturing and trade, ships, flora, and fauna of late Qing Dynasty, which formed a unique artistic style. This paper introduces a collaborative research project between University College London(UCL) and the Victoria and Albert Museum(V&A), which proposes a new digital humanities research model to study Chinese export art. Firstly, the research quantitatively identifies similar painting themes and group them into different artists/workshops. Secondly, it employs deep learning methods to classify 2350 export painting images by theme. Finally, the study conducts iconographic annotation and in-depth analysis to uncover the thematic distribution and evolution of Chinese export paintings created by Chinese artists from the 18th to 19th centuries. The findings reveal significant thematic differences in V&A's collection of export paintings before and after 1840, which provide data support for research on Chinese export paintings and global art history. Additionally, the study contributes a new digital humanities research model for future research on export art. These findings deepen the understanding of Chinese export painting themes and explore new research methodology for analysing the unique process of Sino-Western cultural integration.
    Rural Gaze: Overview of the Spatial and Temporal Distribution of Traditional Chinese Villages and Their Cultures
    Qi Tianjiao, Ran Haowen, Li Jiayun
    2024, 4(2):  64-89. 
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    Traditional Chinese villages are the largest integrated space of cultural heritage in China, and the spatial and temporal distribution of traditional villages and their cultures is an important base map of the spatial distribution of Chinese historical and contemporary culture. At present, most researches on Chinese traditional villages are case studies, and there is no general study on Chinese traditional villages and their cultural distribution. In this paper, geographic information System(GIS) technology is used to analyze the spatial distribution of Chinese traditional villages and their cultural space, the influencing factors and the spatial and temporal distribution of the construction history of Chinese traditional villages. Based on the large-scale collection and collation of spatial data and cultural heritage data of traditional villages, a large dataset with spatial characteristics as the core was constructed. Through a multi-dimensional comparative study of time, economy and heritage, the distribution characteristics of cultural space of traditional villages and their close relationship with the national traditional cultural pattern were revealed. The research results show that the continuity of historical information, economic factors and geographical factors are important factors that determine the spatial distribution of Chinese traditional village culture. Among them, economic factors and ethnic factors in geographical factors interact with each other, which have a complex impact on the distribution pattern of contemporary Chinese traditional villages and shape the distinctive "community" characteristics of Chinese traditional villages. In addition, Chinese traditional villages are closely related to the national material and intangible cultural heritage in space, which on the one hand reflects the aggregation and distribution of most of China's cultural heritage, and on the other hand also reflects that a large number of cultural heritages in traditional villages need to be excavated and protected, highlighting the important position of traditional villages in Chinese culture. Based on geographic information, this paper explores the spatial and temporal perspective of the cultural space of traditional Chinese villages, in order to provide important references for the overall appearance and integrity of traditional Chinese villages, as well as the excavation and protection of cultural heritage in traditional Chinese villages.
    Explanation in Artificial Intelligence: Insights from the Social Sciences
    Tim Miller, Zhang Jing
    2024, 4(2):  90-128. 
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    There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparency to their algorithms. Much of this research is focused on explicitly explaining decisions or actions to a human observer, and it should not be controversial to say that looking at how humans explain to each other can serve as a useful starting point for explanation in artificial intelligence. However, it is fair to say that most work in explainable artificial intelligence uses only the researchers’ intuition of what constitutes a ‘good’ explanation. There exist vast and valuable bodies of research in philosophy, psychology, and cognitive science of how people define, generate, select, evaluate, and present explanations, which argues that people employ certain cognitive biases and social expectations to the explanation process. This paper argues that the field of explainable artificial intelligence can build on this existing research, and reviews relevant papers from philosophy, cognitive psychology/science, and social psychology, which study these topics. lt draws out some important findings, and discusses ways that these can be in-fused with work on explainable artificial intelligence.