• Journal of Korea Game Society
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• v.20 no.2
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• pp.163-182
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• 2020

In this research we attempt to observe the creative and cultural liberal translation for 'Hearthstone'. Also we examine the reaction of the game players when they face the translated expressions. At first, we consider the free translation methods. Then, we contemplate how the translating skills are employed. Next, the response of the game users is weighed through the questionnaires survey. Based on the results the players prefer the closeness between the original and the altered text. Otherwise, they tend to grant the freely translated terms without finding the proper terms.

• Journal of Korea Game Society
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• v.16 no.6
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• pp.79-90
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• 2016

Recently, many researchers have paid attention to the improved generation of AI agent in the area of game industry. Monte-Carlo Tree Search(MCTS) is one of the algorithms to search an optimal solution through random search with perfect information, and it is suitable for the purpose of calculating an approximate value to the solution of an equation which cannot be expressed explicitly. Games in Trading Card Game(TCG) genre such as the heartstone has imperfect information because the cards and play of an opponent are not predictable. In this study, MCTS is suggested in imperfect information card games so as to generate AI agents. In addition, the practicality of MCTS algorithm is verified by applying to heartstone game which is currently used.

• Journal of Korea Game Society
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• v.19 no.4
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• pp.65-76
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• 2019

In Korea, studies of Alea are limited to the discourse of gambling, and the chance itself is getting overlooked. This makes Alea subordinated to the concept of gambling, which causes the contingency itself to be devalued. Therefore, this study analyzes the meaning and function of 'chance' and 'play' according to the genealogy of Alea, dividing the subdivision of Alea into three categories: magical Alea, systematic Alea, and heroic Alea, and applied it to the digital case, CCG Hearthstone.