• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.63-66
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• 2001

In the Poolco model, the bidding game is executed periodically. The player participating to the bidding game accumulates the information of others' strategies and payoffs through the repeated process. Thereby, he is able to map out how he gets his maximum profit, and proceed to the optimal strategy region. This paper shows the algorithm for a player to determine his strategy in t period based the information of the game results of t-1, t-2 period. And this algorithm can be formulated by using Dynamic game theory.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.216-217
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• 2003

• Journal of Korea Game Society
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• v.5 no.3
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• pp.31-38
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• 2005

Consumer perception evaluation depending on the game genre affects many parts of the corporate management including market share, gaining new consumer, maintaining consumer and competition. If consumer perceives a company and a product as bad image, gaining new consumer would be no more available, and enormous amount of time would have to be spent to recover from that bad image. However game companies tend to simply keep spontaneous marketing strategy with the enforcing marketing. Its results will be the short-term success sacrificing the long-term marketing opportunity In order to increase sales and market share, the consumer perception evaluation as well as evaluating the game product and the corporate image is necessary. This article gives emphasis on the general game analysis and formulating strategy in the general game genre rather than a certain corporation and a product. Analyzing a particular product, company, platform and nation is necessary and will be followed subsequently.

• Bulletin of the Korean Mathematical Society
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• v.49 no.6
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• pp.1251-1254
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• 2012

Pure-strategy Nash Equilibrium (NE) is one of the most important concepts in game theory. Tae-Hwan Yoon and O-Hun Kwon gave a "sufficient condition" for the existence of pure-strategy NEs in matrix games [5]. They also claimed that the condition was necessary for the existence of pure-strategy NEs in undominated matrix games. In this short note, we show that these claims are not true by giving two examples.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1336-1356
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• 2017

The spectrum scarcity crisis has resulted in a shortage of resources for many emerging wireless services, and research on dynamic spectrum management has been used to solve this problem. Game theory can allocate resources to users in an economic way through market competition. In this paper, we propose a bidding game-based spectrum allocation mechanism in cognitive radio network. In our framework, primary networks provide heterogeneous wireless service and different numbers of channels, while secondary users have diverse bandwidth demands for transmission. Considering the features of traffic and QoS demands, we design a weighted interference graph-based grouping algorithm to divide users into several groups and construct the non-interference user-set in the first step. In the second step, we propose the dynamic bidding game-based spectrum allocation strategy; we analyze both buyer's and seller's revenue and determine the best allocation strategy. We also prove that our mechanism can achieve balanced pricing schema in competition. Theoretical and simulation results show that our strategy provides a feasible solution to improve spectrum utilization, can maximize overall utility and guarantee users' individual rationality.

• International Journal of Control, Automation, and Systems
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• v.1 no.2
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• pp.236-242
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• 2003

This paper presents a cooperation strategy between a human operator and autonomous robots for an interactive robot soccer game, The interactive robot soccer game has been developed to allow humans to join into the game dynamically and reinforce entertainment characteristics. In order to make these games more interesting, a cooperation strategy between humans and autonomous robots on a team is very important. Strategies can be pre-programmed or learned by robots themselves with learning or evolving algorithms. Since the robot soccer system is hard to model and its environment changes dynamically, it is very difficult to pre-program cooperation strategies between robot agents. Q-learning - one of the most representative reinforcement learning methods - is shown to be effective for solving problems dynamically without explicit knowledge of the system. Therefore, in our research, a Q-learning based learning method has been utilized. Prior to utilizing Q-teaming, state variables describing the game situation and actions' sets of robots have been defined. After the learning process, the human operator could play the game more easily. To evaluate the usefulness of the proposed strategy, some simulations and games have been carried out.

• Journal of Korea Game Society
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• v.5 no.2
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• pp.11-18
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• 2005

The effort to win the blackjack game in the casino has been taken globally. This article presents a game strategy to win the game based on the high-low rue count technic. This article will also identify the necessity of Kelly criterion and the betting strategies based on the standard is applied to the blackjack rules of Kangwon Land. By the way, bettings are distinguished as aggressive and conservative one and the simulations more than 2 million shoes has been performed. As a result, it is revealed that the aggressive betting is most advantageous in winning money while it implies the biggest risk.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.60-61
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• 2017

모바일 게임 시장은 매년 시장 규모가 확대되고 있으며, 대중의 관심 또한 꾸준히 높아지고 있다. 모바일 게임은 대체로 조작이 간단하고 장소에 따른 제약이 없기 때문에 접근하기 쉽다는 특징을 가지고 있으며 이 때문에 앞으로도 모바일 게임 시장의 전망은 밝다고 할 수 있다. 본 논문에서는 모바일 게임에서 가장 성공한 장르 중 하나인 소셜 네트워크 게임 중에서도 RTS 장르의 게임을 기획, 설계 구현한 것에 대해 다루었다.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.12
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• pp.597-602
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• 2002

The restructuring of power industry is still going on all over the world for last several decades. Many kinds of restructuring model have been studied, proposed, and applied. Among those models, power pool is more popular than other. This paper assumes the power pool market structure having competitive generation sector, and a new method is presented to build a bidding strategy in that market. The utilities participating in the market have the perfect information of their cost and price functions, but they don't know which strategy to be chosen by others. To define one's strategy as a vector, we make utility's cost/price functions into discrete step functions. An utility knows only his own strategy, so he estimates the other's cost/price functions into discrete step functions. An utility knows only his own strategy, so he estimates the other's strategy using Nash equilibrium or stochastic methods. And he also has to forecast the system demand. According to this forecasting result, his payoffs can be changed. Considering these all conditions, we formulate a bidding game problem and apply noncooperative game theory to that problem for the optimal strategy or solution. Some restrictive assumption are added for simplification of solving process. A numerical example is given in Case Study to show essential features and concrete results of this approach.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.991-1002
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• 2004

Online game business has emerged as the most lucrative entertainment industry, with over 20 million platers. The popularity of online games can be attributed to the presence of numerous PC Bangs around the country, which have pushed online games into the mainstream culture while broadband internet services facilitated online game play. The age distribution of online game players is expanding and a variety of new games are under development to target certain age groups. While the online game market continues to expand, with many new online game publishers entering the market, relatively little is known about which factors are strategically important for successful development of online games. A conceptual framework is proposed, and a structural equation modeling, for Identifying the factors affecting the market success of online games, is developed. The concept of online game community, idea generation, systematic development strategy, flexible development process, utilizing demo-version, outsourcing, etc, are ail introduced into the model, as the independent variables affecting the success level of online games directly and indirectly. Based on data collected from questionnaire survey, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between these variables. Statistical results show that utilizing online game community and system atic development strategy is the key for successful online game development. Other interesting results concerning game development strategy are also provided. It is hoped that this result might provide the useful guidelines for developing the successful online game contents. With a better understanding of key success factors, online game developers should be able to make adjustments in their development and marketing plans, providing them with a sustainable advantage over their competition.