• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.93-99
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• 2009

Game program manufacture had been classed by 3D or on-line game etc. simply. But, atomized game programmer's kind now. So, Artificial Intelligence game programmer's role is important. This paper used reinforcement learning algorithm for Jul_Gonu board characters to learn, and so they can move intelligently. To compare a learned character to an random one, a board game was created, and then they fought against each other. As a result, learned character‘s ability was far more improved.

• Journal of Korea Game Society
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• v.16 no.6
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• pp.173-184
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• 2016

This research explores strategy for game developers to select platforms in the game industry where are traditional two-sided market focusing on mobile game platforms. We conducted content qualitative analysis by collecting data through contents on online and offline and interviewed four CEO of game developers to secure validity and reliability as well. The results of the research are the following: First, platforms selection factors of game developers are game implementation ability and technical stability, marketing competence of platforms, and profitability creation. Second. the initiative of mobile game platforms has handed over from first generation of mobile games to second mobile games according to their value creation and value capture.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.129-138
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• 2017

In football simulation games, it is very important for the interest of the game to make the stats of the football players close to reality. As the management concept is introduced to the sports simulation game, when the user plays the game for a long time, the existing player character retires. Therefore, the game creates the environment of the game by creating a new player in the game. In this study, we propose a method to create a new player character by using genetic algorithm to have the optimal ability similar to existing players. We compare and evaluate the player character with the existing random generation method, the correction random method and the proposed algorithm, and verify the validity of the proposed method.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.175-178
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• 2012

이 연구에서는 학습전략 게임 활용 학습에서 자기조절학습능력의 효과를 분석하였다. 그리고 학습전략 게임 활용 학습이 학습자의 학습전략 수준에 따라 자기조절학습능력 신장에 주는 효과성을 검증하여 효과적인 게임 활용 학습 환경 설계에 시사점을 제공하고자 하였다. 연구대상으로서 103명의 초등학생에게 학습전략의 수준을 측정하고 4주간 10차시에 걸쳐 학습전략 게임 활용학습을 실시한 후 자기조절학습능력의 효과를 분석하였다. 연구결과 첫째, 학습전략 게임 활용 학습은 실험집단과 통제집단의 자기조절학습능력에 있어서 통계적으로 유의한 차이가 있었으며 특히 인지조절, 동기조절에서 유의한 차이가 있었다. 둘째, 학습전략 게임 활용 학습은 학습전략 수준별 상, 중, 하 집단의 자기조절학습능력의 향상 차원에서 통계적으로 유의한 차이를 보였으며 특히 중 집단에서 유의한 차이가 있었다.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.196-202
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• 2021

Currently, as Korea enters into a fast aging society, the problem of dementia population is increasing. In this paper, we intend to contribute to the improvement of welfare for the elderly by developing virtual reality technology and related interface technology to effectively perform hand movements known as effective methods for preventing and treating dementia. As the content of the research and development of this paper, it is designed to be easy for the elderly to use and stimulate brain function by applying VR technology using sensors, and to activate mental and physical activities for the elderly who are marginalized in terms of cultural welfare. We intend to develop by classifying the types of games and contents that can induce them. As a result of this thesis, we developed contents using virtual reality to improve cognitive abilities for elderly people with poor cognitive ability to activate the brains of users' cognition, memory, and attention to prevent and treat dementia I want to contribute.

• Journal of Korea Game Society
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• v.2 no.2
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• pp.60-65
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• 2002

In the majority of today's computer games, the behaviour of characters are controlled by pre-defined game logic or pre-generated motion. As game developers strive for richer and more interactive games, they often encounter limitations with this approach. This paper attempts to construct a game model using Genetic Algorithms (GAs) in order to produce more intelligent and compelling computer games. Based on teaming ability, the use of GAs will enable the characters to continually evolve, providing a changing and dynamic game environment. A real-time game was implemented to investigate the performance and limitations of the system.

• Journal of Korea Game Society
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• v.10 no.4
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• pp.91-101
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• 2010

The purpose of this study is to analyze the teacher's perception about educational use of a game as a supportive method for teaching and learning process in the educational context. The result will be used as a good index to spread the game-based learning in the future. We have derived the following results through the investigation. Firstly, teachers have some limitation to get the topics and contents for game-based learning curriculum. Secondly, they were frequently required to design and arrange their teaching process by the level of learner's ability in the game-based learning. Thirdly, public institution has to supply various information and guideline for teachers to use the game-based learning. Finally, they demand systematic approach and executive and financial support to encourage the game-based learning.

• Journal of Korea Game Society
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• v.12 no.4
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• pp.53-64
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• 2012

This article is a analysis & diagnosis on the shifting of regulation paradigm for arcade game in Korea. Arcade market is decreasing market size after 2006. Arcade platform is characterized by the individuality & PC-based ability. This rapidly changes of the environment are facilitating the gambling in arcade game market. For the protecting the gambling in arcade game market, regulation paradigm needs the shift. To game center & speculative behavior, from game & gambling criteria. The regulation on arcade game in China is a meaningful case, when we make the new paradigm.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.33-42
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• 2011

In this study, game-aided human life type game design method is suggested. It mainly deals with the permissiveness of the game rules and coenesthesia of the game that are fitted with the agility of the elders such as the performance of a selective response. And 'Rolling hoops Balance Game' has been implemented by applying the game-aided human life type game. Since the pressure sensors are installed on each parts of the chair type game controller, to play the game, a gamer simply uses her hands and feet to press the sensors without requirements of the complex movements. The goal of the game are the leg muscles strength and improvement of the body balancing ability. In addition, the game graphics consists of sensory stimuli package(Namazi, Haynes, reminiscence therapy, 1994) to make friendly mood for elders. We have tested 50 elders who were more than 65 years old. 74% of them answered they were satisfied totally for the game play. It is a meaningful result that 88% of participants replied they would like to play the game again.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.3771-3788
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• 2015

This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.