• The Journal of the Korea Contents Association
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• v.8 no.4
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• pp.117-129
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• 2008

This analysis is intended to approach a computer game in the context of cultural-study theories. The semiotics can be applied to various area, and it is assumed to also applied to computer games. In semiotical background we tried to analyze the mythology of Starcraft mainly by using Propp's narratives theory and Brathes' mythologies theory. In the narratives of Starcraft, we fouind some simplified functions which penetrate the internal structure. And while most of the games having paradigmatic flow in narratives, Starcraft has syntagmatic flow mainly because of the function of network. With these conditions, we could find some mythologies in Starcraft : (1) naturalization of discipline and control, (2) time and space as resources, (3) deprivation of values of object.

• Journal of Korea Game Society
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• v.7 no.1
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• pp.21-29
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• 2007

This paper attempts to analyze Starcraft by Greimas's Carre Semiotique and the theory of structure generation semiotics, which are useful for non verbal text as well as verbal text. First, by using the Christian Metz's grand syntagma theory and principle, this study articulated the text of starcraft. As a result, it revealed that Starcraft has the axis of sense of war and has the primary sense categories of production and destruction. The sense of the Starcraft is being generated by these axis of sense and sense categories. This analysis is expected to be a stepstone for the furthermore analysis of narrative and discoursive level.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.135-145
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• 2008

This paper tried to analyze Starcraft's multiplay by using especially Greimas's theory of discourse. Greimas's theory of semiotics is known as a useful tool of analyzing non-verbal text as well as verbal text. The discourse of Starcraft is continuously made by subject and anti-subject. This characteristic of discourse- not given completely made- is the prominent difference from discourses made from other media. The subject and anti-subject, as actively crossing the position of enunciator and enunciatee each other, dynamically make and complete the discourse.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.103-113
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• 2007

This paper attempts to construct a storytelling model of computer games by using the Greimas's schema of narrative. Analysis target is multi-play of Starcraft, which has the non-linearity and interactivity. As a result, the process of manipulation and sanction, occurred in epistemological level at very short time and the process of competence had lots of small schema of narratives and repeated that small narratives. This model may be applied to other games, because it looks that most of games have very short process of manipulation and sanction at epistemological level and have long process of competence as main game play.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.143-152
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• 2021

It is very important to learn behavioral policies that allow multiple agents to work together organically for common goals in various real-world applications. In this multi-agent reinforcement learning (MARL) environment, most existing studies have adopted centralized training with decentralized execution (CTDE) methods as in effect standard frameworks. However, this multi-agent reinforcement learning method is difficult to effectively cope with in a dynamic environment in which new environmental changes that are not experienced during training time may constantly occur in real life situations. In order to effectively cope with this dynamic environment, this paper proposes a novel multi-agent reinforcement learning system, C-COMA. C-COMA is a continual learning model that assumes actual situations from the beginning and continuously learns the cooperative behavior policies of agents without dividing the training time and execution time of the agents separately. In this paper, we demonstrate the effectiveness and excellence of the proposed model C-COMA by implementing a dynamic mini-game based on Starcraft II, a representative real-time strategy game, and conducting various experiments using this environment.

• Journal of Korea Multimedia Society
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• v.9 no.5
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• pp.635-648
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• 2006

As the advances of Internet infra structure and the support of console and mobile for network games, the industry of online game has been growing rapidly, and the online game traffic in the Internet has been increasing steadily. For design and simulation of game network, the analysis of online game traffic have to be preceded. Therefore a number of papers have been proposed for the purpose of analyzing the traffic data of network games and providing the models. We make and use GameNet Analyzer as a dedicated tool for game traffic measurement and analysis in this paper. We measure the traffic of FPS Quake 3, RTS Starcraft and MMORPG World of Warcraft (WoW), and analyze the packet size, packet IAT(inter-arrival time), data rate and packet rate according to the number of players and in-game behaviors. We also present the traffic models using measured traffic data. These analysis and models of game traffic can be used for effective network simulation, performance evaluation of game network and the design of online games.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.988-991
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• 2020

다양한 실세계 응용 분야들에서 공동의 목표를 위해 여러 에이전트들이 상호 유기적으로 협력할 수 있는 행동 정책을 배우는 것은 매우 중요하다. 이러한 다중 에이전트 강화 학습(MARL) 환경에서 기존의 연구들은 대부분 중앙-집중형 훈련과 분산형 실행(CTDE) 방식을 사실상 표준 프레임워크로 채택해왔다. 하지만 이러한 다중 에이전트 강화 학습 방식은 훈련 시간 동안에는 경험하지 못한 새로운 환경 변화가 실전 상황에서 끊임없이 발생할 수 있는 동적 환경에서는 효과적으로 대처하기 어렵다. 이러한 동적 환경에 효과적으로 대응하기 위해, 본 논문에서는 새로운 다중 에이전트 강화 학습 체계인 C-COMA를 제안한다. C-COMA는 에이전트들의 훈련 시간과 실행 시간을 따로 나누지 않고, 처음부터 실전 상황을 가정하고 지속적으로 에이전트들의 협력적 행동 정책을 학습해나가는 지속 학습 모델이다. 본 논문에서는 대표적인 실시간 전략게임인 StarcraftII를 토대로 동적 미니게임을 구현하고 이 환경을 이용한 다양한 실험들을 수행함으로써, 제안 모델인 C-COMA의 효과와 우수성을 입증한다.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.576-581
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• 2008

For the improved game industry, this society was permitted as an incorporated association for spearhead of game society from Ministry of Culture & Tourism on February 14, 2001 with a sense of duty and a strong will toward a powerful game country. This society has objectives of academic research and distributions on creations of game contents, technologies of game producing and developments of game cultures. We will develop the game culture and industry through an industry-academic cooperations by each expert field, and spread out academic activities for cultivation of policy, technology, education, etc of the game industry in the future.

• Journal of Korea Game Society
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• v.9 no.5
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• pp.117-125
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• 2009

In real-time strategy simulation (RTS) game each team is composed of agents and executes strategies to win other team. Strategy needs agents' cooperation in each team. This needs multi-agent system (MAS). Centralized decision making, one of decision making in MAS, selects actions not to agents but to team by a coordinated agent. Decentralized decision making costs high because each agent communicates with each other. In this paper we propose a system which controls agents by grouping and allocates roles through negotiation by a coordinated agent. Then, when one of allocated actions is not executed or failed, a coordinated agent allocates its role to another agent. We make experiments in starcraft, famous RTS game. When a proposed method is applied, the performance of attack and defense is increased. The improved agents' team wins eight times per ten games.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.280-284
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• 2022

The purpose of the study was to identify the level of development of gaming disorder among e-sportsmen as a potential risk of their activity. Three groups were formed for the study. The first group consisted of 102 e-sportsmen aged between 18 and 32; the second group consisted of boys of the same age who, according to preliminary questionnaires, played computer games fairly frequently - at least once a week (n = 102); the third group consisted of individuals of the same gender and age, but who did not share a passion for computer games (n = 102). The study was performed using semi-structured interview during which the respondents filled out the Computer gaming disorder questionnaire developed and tested by O.M. Vidova under our supervision. Our study showed that among 102 e-sportsmen, 82,3% did not have any computer gaming disorder, only some tendency thereto. While 17,6% of e-sportsmen were characterized by a pronounced gaming disorder. E-sportsmen who prefer strategies, less than all other e-sportsmen, tend to escape from reality and accept the game role, to express their emotions through the game, and in general have the lowest level of dependence on games. Additionally, strategic e-sportsmen are most likely to study the game thoroughly and to develop themselves with it. Many Starcraft e-sportsmen tend to explore the possibilities of the game in detail and, at the same time, protect themselves from escaping into virtual reality. The risk of computer gaming disorder among e-sportsmen is largely determined by their sports achievements, the type of sports activity (individual or team), and genre of the preferred computer game.