• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.4
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• pp.383-389
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• 2004

This paper proposes a method to provide intelligence for characters in fighting action games by using a neural network. Each action takes several time units in general fighting action games. Thus the results of a character's action are not exposed immediately but some time units later. To design a suitable neural network for such characters, it is very important to decide when the neural network is taught and which values are used to teach the neural network. The fitness of a character's action is determined according to the scores. For learning, the decision causing the score is identified, and then the neural network is taught by using the score change, the previous input and output values which were applied when the decision was fixed. To evaluate the performance of the proposed algorithm, many experiments are executed on a simple action game (but very similar to the actual fighting action games) environment. The results show that the intelligent character trained by the proposed algorithm outperforms random characters by 3.6 times at most. Thus we can conclude that the intelligent character properly reacts against the action of the opponent. The proposed method can be applied to various games in which characters confront each other, e.g. massively multiple online games.

• Journal of Korea Game Society
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• v.14 no.1
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• pp.93-102
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• 2014

The non-player character(NPC) either cooperates with the player character to proceed the game or fight against the game player. This paper proposes the context awareness method for the natural action control of the same NPC. The context awareness method analyzes the context information of the NPC that can be utilized in the current status and creates the actions which suit the current context automatically. The context awareness method analyzes the information value of the context elements of the NPC which occur in the current context and creates natural actions of the character by utilizing the analyzed context element information. In this experiment, average performance improved by 39% and by 8% in the context awareness method as compared to the rule-based method and information gain method, respectively.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.271-277
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• 2006

Recently, the mobile game market is growing due to the extension of mobile devices and internet. The mobile games are became a popular culture in society. But the existing mobile games have two simple forms. There are tow models in the mobile games. The first is as follows. The user downloads a game one time and play the game at off-line field. The second is as follows. The user play a battle game at on-line field. In the paper, we propose a new on-line "tug of war" game model which the user can play two kinds of game. They are the on-line battle mode game and the character raising mode game. Thus, this game model is different to existing mobile games and innovative model in mobile game market. This paper proposes a new research field in mobile game market with the characteristic that the user tan play two modes. One mode is the on-line tug of war battle mode and the other is the character raising mode.

• Journal of the Korea Computer Industry Society
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• v.7 no.3
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• pp.163-170
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• 2006

This paper proposes intelligent characters for fighting action games to which energy concepts are applied for more realistic implementation than those of previous researches. The intelligent characters decide their actions in consideration of their energy level as well as a current action, the step of the action, the distance, and past actions of opponent characters that were used in existing intelligent ones. We used two types of energy, HP(Health Point) and MP(Mana Point), that were frequently employed in recent on-line games. We experimented with proposed intelligent characters to investigate whether the intelligent characters loam proper actions and cope with opponent characters in consideration of their energy levels. Experimental results showed that the intelligent characters reacted to the best actions to obtain high score if their energy is sufficient, otherwise they did the actions to recharge their energy. From this observation, we could conclude that the proposed intelligent characters worked well and did effective actions in consideration to the their energy.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.17-28
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• 2005

Recently intelligent characters in computer games have been an important element more and more because they continually stimulate gamers' interests. As a typical method for implementing such intelligent characters, neural networks have been used for training action patterns of opponent's characters and game rules. However, some of the game rules can be abruptly changed and action properties of garners in on-line game environments are quite different according to gamers. In this paper, we address how a neural network adapts to those environmental changes. Our adaptation solution includes two components: an individual adaptation mechanism and a group adaptation mechanism. With the individual adaptation algorithm, an intelligent character steadily checks its game score, assesses the environmental change with taking into consideration of the lastly earned scores, and initiates a new learning process when a change is detected. In multi-user games, including massively multiple on-line games, intelligent characters confront diverse opponents that have various action patterns and strategies depending on the gamers controlling the opponents. The group adaptation algorithm controls the birth of intelligent characters to conserve an equilibrium state of a game world by using a genetic algorithm. To show the performance of the proposed schemes, we implement a simple fighting action game and experiment on it with changing game rules and opponent characters' action patterns. The experimental results show that the proposed algorithms are able to make intelligent characters adapt themselves to the change.

• Journal of the Korean Society of Costume
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• v.63 no.7
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• pp.121-133
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• 2013

The globalization of the world, fueled by the Internet, made possible for individuals to access the cultures around the world, other than their own, easier than ever before. But among those rapidly sought out sub-cultures, the video gaming industry, once a niche market mostly for nerds and geeks, now has become one of the biggest entertainment businesses in the world. In a video game, one of the critical elements that could determine its success or failure is the characters featured in the game. And as the countless number of animated characters from many different video games from the past few years have become incredibly popular among the audiences around the world, the expectations from the fans also grow higher every time a new game comes out. Ultimately this has forced the video game developers to come up with more unique and interesting characters for their video games. And at this point, where a video game character is more than just fictional fantasy but a brand to be recognized, it is worth paying proper attention to the video game characters that represent Korea. Hence in this study, we will take a look at Han Ju-Ri, a Korean character featured in Super Street Fighter IV, a competitive fighting game developed by Capcom, one of the world's most recognized video game companies that started its life as an arcade video game, developer but eventually ventured its business into the online world. The study will propose a complete overhaul of the character by incorporating Korea's own traditional looks.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.103-112
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• 2017

Street fighter II is a game that played an innovative role in the genre of fighting games in the 1990s. There are many elements that this game has played, but I would like to describe the character's background music. Is terms of sound, it is an excellent game with theme music suitable for twelve characters and voice that comes out when using each character's technique. Street Fighter II shows different patterns of background music depending on the charcater's fitness. I analyze it in harmonical way and try to study it form the perspective of music psychology.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.435-438
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• 2005

현재 인공지능 기법은 우리 주위의 여러 분야에서 사용되고 있으며, 그 중요도가 점점 높아지고 있다. 이러한 분야 중에 하나가 바로 컴퓨터 게임 분야로 전통적인 인공지능 기법부터 근래에 게임과의 결합이 시도되고 있는 비전통적 기법에 이르기까지 다양한 종류의 방법이 시도되었고, 시도될 예정이다. 본 논문에서는 게임내에서 그 비중이 커져가고 있는 인공지능을 통한 캐릭터의 지능화 방안으로 신경망 기반의 지능 캐릭터를 제안하였다.

• Journal of Korea Multimedia Society
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• v.15 no.1
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• pp.140-147
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• 2012

Expo is now firmly established as one of the top three world event, with Olympic and World Cup, which can be achieved a centralized investment of various contents in economy, technology, and culture and so on. Local government, in South Korea, actively has worked to hold Expo to revitalize the local economy and to increase the local identity since Daejeon World Expo in 1993. However, it is a fact that is hard to find Expo making good professional identity design system of Expo for lack of adequate understanding of the local community and government about design system. Accordingly, this study will suggest the promotion Expo along with the importance of character development, and the present status and analysis of Expo character which is essential to identity establishment of Expo and the core of the communication.

• Digital Contents
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• no.7 s.146
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• pp.78-79
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• 2005

귀여운 캐릭터를 바탕으로 한 슈팅타입의 캐주얼 대전액션 게임인 ‘싸워(SSaWar: Small Soldier Action War)’는‘라그하임’·‘라스트 카오스’를 개발, 서비스하고 있는 나코인터랙티브의 모회사 나코엔터테인먼트가 게임사업부 신설 1년만에 선보이는 온라인게임으로 엽기와 코믹을 메인 소재로 하고 있다. 지난달 23일부터 25일까지 진행했던 이 게임의 2차 클로즈베타 서비스에 참여, 어떤 모습인지 살펴봤다.