• Korean Journal of Child Studies
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• v.22 no.4
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• pp.133-147
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• 2001

The primary purpose of this research was to examine Korean childrens concepts of authority. Childrens judgments about commands of persons with varying age, social position, and knowledge were assessed. 48 subjects from the first, third, and fifth grades were presented with portrayals of persons giving children commands regarding two types of events: fighting and a game rule dispute. Subjects evaluated the legitimacy of commands and chose between different persons giving opposing commands. With regard to a command to stop fighting, subjects accepted the legitimacy of adult and peer authorities, as well as an adult without a position of authority. Subjects rejected commands that failed to prevent harm even when given by an adult authority. With regard to a game rule dispute, subjects most heavily weighted knowledge in evaluating the authority commands. The findings show that Korean children do not have a unitary orientation to adult authority, and have implications for an understanding of individuals' conceptions in the context of a cultural ideology emphasizing reverence for authority.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.192-198
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• 2024

This paper investigates the application of multi-agent deep reinforcement learning in the fighting game Samurai Shodown using Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C) algorithms. Initially, agents are trained separately for 200,000 timesteps using Convolutional Neural Network (CNN) and Multi-Layer Perceptron (MLP) with LSTM networks. PPO demonstrates superior performance early on with stable policy updates, while A2C shows better adaptation and higher rewards over extended training periods, culminating in A2C outperforming PPO after 1,000,000 timesteps. These findings highlight PPO's effectiveness for short-term training and A2C's advantages in long-term learning scenarios, emphasizing the importance of algorithm selection based on training duration and task complexity. The code can be found in this link https://github.com/Lexer04/Samurai-Shodown-with-Reinforcement-Learning-PPO.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.83-84
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• 2019

제안 방법은 Visual Studio 2017 API 와 C++을 사용하여 2D 액션 게임은 스피드 와 3개의 스킬을 추가하여 게임 내에서 더 화려하게 싸울 수 있도록 하였으며 1 : 1 대전으로 인하여 게임의 몰 입도가 높다는게 특징이다. 제안 게임은 1 : 1 대전에 알맞은 분위기를 위해 어두운 배경 및 울퉁불퉁한 2D지형을 사용하여 C++ 의 코드를 이용하여 2D 애니매이션을 사용한다.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.65-77
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• 2023

Chinese martial arts culture is a kind of Chinese kung fu culture, a cultural category that uses martial arts kung fu for chivalry and justice. Chinese martial arts MMORPG online game is the embodiment of Chinese martial arts culture in online games, which is a unique Chinese online game. The image of beggar chivalry is a special chivalrous image in Chinese martial arts culture, and in the top 3 martial arts MMORPG online games, all of them have the image of beggar chivalry, which shows that this image has a wide player base. The Q methodology is an approach that endeavors to discover complex issues in human subjectivity, unlike existing empirical studies. In order to determine the type of beggar chivalry image preference of the game players, 32 beggar chivalry images were selected in the study and three types of beggar chivalry images were found through the Q method: Type 1 is the type of gorgeous and noble beggar chivalry; Type 2 is a competent type and is good at fighting the beggar's chivalry; and Type 3 is comparable relatively refined type. The result of this study is that the image of beggar chivalry preferred by game players is the opposite of the traditional Chinese image of beggar chivalry. The traditional image of beggar is the image of wearing plain and begging in the street, but the image of beggar chivalry that is liked in online games is luxurious, noble, exquisite and about the image of good at fighting. This research result has some value and significance in the development and design of beggar chivalrous image in future martial arts MMORPG online games.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.329-336
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• 2005

This paper proposes a method to provide intelligence for characters in fighting action games by using genetic algorithm. The proposed characters without any knowledge on the rules of the game learn the rules and techniques for generations, and have the capability of evolving. To evaluate adaptability for varying circumstances, we changed the rules and compared the results. The experimental results show that the intelligent characters can adapt to the new rules. An advantage of the proposed method is that it can be easily applied to characters for other category of games such as PC games and internet online games.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.333-334
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• 2022

본 논문에서는 대전 격투 게임에서의 AI 개발을 위한 강화학습 사용 방법을 제안한다. 이 방법은 학습 모델에 상대방의 다양한 패턴을 학습시켜 적은 코드로 효율적인 AI 개발을 할 수 있어 개발 시간을 최소화 할 수 있다. 또한, 이 방법은 복잡한 코드를 추가 또는 제거할 필요 없이 보상과 액션을 조정하여 다양한 종류의 AI를 원하는 만큼 생성할 수 있다는 장점이 있다. 본 논문에서는 Unity 사에서 제공하는 머신러닝 툴인 ML-Agents를 활용하여 강화학습을 통한 대전 격투 게임 AI의 가능성을 보인다.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.495-502
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• 2015

The main goal of psychological serious game, which is called "SAVE ME, LOVE ME" made on the purpose of sound identity for teenagers is to reach inner awareness through the process of dilemma problem solving by the support of unconditional love. This action game is about how to deal with routine dilemma through the first person narration that teenagers are faced to. Its features are on the metaphorical use of 'A Prodigal Son' in the Bible, one of religious wisdom narratives to heal the psychological stresses which teenagers suffer from. This game is aimed at helping teenagers to build a positive and solid sense of self by fighting against growing threatens to teenager's solid sense of self, by defeating monsters, and by listening to the various stories which game characters tell.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.449-456
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• 2006

This paper proposes intelligent characters for fighting action games to which energy points 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 learn proper actions and cope with opponent characters in consideration of their energy levels. Experimental results showed that the intelligent characters reacted with the best actions to obtain high score if their energy is sufficient, Otherwise, they did the actions to(that?) recharge their energy. From this observation, we could conclude that the proposed intelligent characters worked well and did effective actions in consideration of the their energy.

• 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.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.176-183
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• 2019

Rhyme of Truce is an educational program that helps you develop the ability to cope with cyber violence rightly. we aim to produce educational contents that will last a long time in the memory of specially children. By combining the room escape game and Leap motion / VR, the program reflects the user's motion and action in real time. The Keyboard Worrier comes into contact with the user and causes violence, and the user who is attacked by the monster see several negative messages written in red and hears abuses sound. Users enter the virtual space decorated as the cyber world. They can experience cyber-violence indirectly but vividly, and if language violence, which has been overlooked and recognized only as "letters", is executed offline, it will directly wonder if cyber-violence should also be regarded as a means of violence. Users have the opportunity to cope with violence autonomously. When a user is attacked by an in-game monster, there are two ways to choose from. First, fighting against with a keyboard (which is a symbol of language violence) just like a monster. Second, report the abuser to cyber bureau police. Both methods make them to escape the room, but when they get out of the room and return to the home and read the message through the monitor, users can recognize which action was right for.