• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.572-577
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• 2015

Generally, the existing Artificial Intelligence (AI) systems were designed for specific purposes and their capabilities handle only specific problems. Alternatively, Artificial General Intelligence can solve new problems as well as those that are already known. Recently, General Video Game Playing the game AI version of General Artificial Intelligence, has garnered a large amount of interest among Game Artificial Intelligence communities. Although video games are the sole concern, the design of a single AI that is capable of playing various video games is not an easy process. In this paper, we propose a GreedyUCB1 algorithm and rollout method that were formulated using the knowledge from a game analysis for the Monte-Carlo Tree Search game AI. An AI that used our method was ranked fourth at the GVG-AI (General Video Game-Artificial Intelligence) competition of the IEEE international conference of CIG (Computational Intelligence in Games) 2014.

• Journal of Korea Game Society
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• v.11 no.1
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• pp.59-67
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• 2011

The increase in the use of video games is resulting in the perception of some variables for video gamers. Therefore, it is necessary to identify the drivers for video games and their effects on the users to lead the growth strategies for the video gaming business. In this study, the drivers of video game play are creativities and enjoyment which are based on previous studies. And an empirical analysis was performed to determine the effect of these variables on intention to reuse. First, the results showed that artistic, scientific, and general creativity affect perceived enjoyment. Second, perceived enjoyment appeared to be a significant factor of intention to reuse. Specially, the author confirmed that artistic creativity has a very significant effect on enjoyment of video games.

• The Journal of Information Systems
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• v.25 no.4
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• pp.23-36
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• 2016

Purpose Recently, many researchers have paid much attention to the Artificial Intelligence fields of GVGP, PCG. The paper suggests that the improved MCTS algorithm to apply for the framework can generate better AI agent. Design/methodology/approach As noted, the MCTS generate magnificent performance without an advanced training and in turn, fit applying to the field of GVGP which does not need prior knowledge. The improved and modified MCTS shows that the survival rate is increased interestingly and the search can be done in a significant way. The study was done with 2 different sets. Findings The results showed that the 10 training set which was not given any prior knowledge and the other training set which played a role as validation set generated better performance than the existed MCTS algorithm. Besed upon the results, the further study was suggested.

• The Journal of the Korean dental association
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• v.57 no.12
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• pp.728-735
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• 2019

Objective: Previous studies suggested the potential influence of YouTube videos regarding dentistry on the mass population. However, there was not any clear investigation for Korean population. We aimed to systemically analyze the type of the dentistry-related videos uploaded on YouTube Korea and the accounts used for uploading, and to assess their effect on the view count of the content. Methods: Classification, type of the accounts, and view count of the videos listed by the keyword 'dentistry' were analyzed, which were uploaded on YouTube Korea platform from September 2017 to April 2019. Kruskal-Wallis test with post hoc analysis was used to assess the effect of the classification of the videos and the type of accounts on the view count. Results: 1.026 videos were enrolled to the analysis. Primary classification of the videos was information/education, advertisement, life, news, child contents, autonomous sensory meridian response, broadcast, cartoon/game, humor, and music. Secondary classification of the videos was dental experience, advertisement, role-playing, information/education., humor, cartoon/game, child contents, life, and broadcast. Type of the accounts was dentistry associates, general public, media company, and government office (sorted by frequency). Subject of the most videos (93.6%) was general public. There was statistically significance in the view count of the videos according to the primary and secondary classifications, the account used for uploading, and target subject of the videos. Conclusion: Dentists and their associates should recognize the importance of YouTube platform and try to monitor and intervene the dentistry-related contents, considering its huge impact on the general public.