• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.690-693
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• 2003

The purpose of two player game is that a player beats an enemy. In order to win to various enemies, a learning of various strategies is indispensable. However, the optimal action to overcome the enemies will change when the game done over and again because the enemy's actions also change dynamically. Sol it is din-cult that the player aquires the optimal action and that the specific player keeps winning to various enemies. Species who have a competition relation and affect other's existence is called a coevolution. Coevolution has recently attracred considerable interest in the community of Artificial Life and Evolutionary Computation(1). In this paper, we apply Classifier System for agent team to two player game. A reward and a penalty are given to the used rules when the agent achieve specific action in the game and each team's rulebase are evaluated based on the ranking in the league. We show that all teams can acquire the optimal actions by coevolution.

• Journal of Korea Game Society
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• v.20 no.2
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• pp.101-112
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• 2020

This study looked into how to carry out sacrifices for intra-game cooperation in becoming a high-level player. The results are as follows. First, the way players behave is dependent on their resources(scores). Second, the higher the player's score, the more praise cards were given to dealers. Third, high-scoring players have taken on a role of "sacrificing the self to serve the many" by voluntarily playing the role of healer, leading the team to set the rules and consequently reducing the risk of a probable role conflict within the team.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.622-624
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• 2013

TV is Device best known to everyone. Showing off a smart TV in the TV industry has recently become a new blue ocean in the TV market. As with other smart devices, smart TV is also an important factor is a very important application. In this paper, by using the Samsung SDK to application of Web-based that can be used in smart TV environment of Samsung, we have developed a board game that has been created based on JAVA SCRIPT, CSS, and HTML. Rules of the game of the board game format using the dice is easy, this application is a four-person game that also men and women of all ages who enjoy.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.253-258
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• 2008

Recently, game players want new game requiring more various tactics and strategies in the complex environment beyond simple and repetitive play. Various artificial intelligence techniques have been suggested to make the game characters learn within this environment, and the recent researches include the neural network and the genetic algorithm. The Genetic programming(GP) has been used in this study for learning strategy of the agent in the pursuit-evasion problem which is used widely in the game theories. The suggested GP algorithm is faster than the existing algorithm such as neural network, it can be understood instinctively, and it has high adaptability since the evolving chromosomes can be transformed to the reasoning rules.

• Journal of Korea Game Society
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• v.19 no.3
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• pp.75-86
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• 2019

The fast-growing pet industry is expanding its reach to digital content for dogs. In this regard, the study aims to present game elements applicable to pet content, taking into account the sensory characteristics of dogs: visual, auditory, and olfactory. To this end, attendance and rules were drawn as factors to induce continuous use of content by pet owners, and intimacy and compensation were derived as game elements so that dogs could get positive responses by feeling fun and interesting through content. Through this study, we expect to revitalize the newly evolving dog content industry.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.281-284
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• 2021

The importance of early childhood education has increased and early childhood education has become an important part of the education industry. Scientific and rational early childhood education can effectively promote the development of children's intelligence and is very important for the development of physical and mental health. As a rich and diverse game, educational games have been widely used not only to improve children's sense of cooperation and thinking, but also to help children develop awareness of competition and rules. Stability and personality formation stimulate young children's brain development and expect children's intellectual improvement.

• Korean System Dynamics Review
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• v.5 no.2
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• pp.175-197
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• 2004

The research studies the classic beer game simulation model from a new perspective. It does so by providing each agent with two ordering policies, and creating a set of rules that allow an agent to change its policy. Such a change is triggered based on an agent's confidence in their own performance, and on the relative confidence of their nearest neighbour. The overall effect is that policy diffusion can occur, where, under certain circumstances, an agent will mimic the behaviour of its neighbour, if it believes that its neighbour is performing better. The motivation behind this research is to provide an experimental base upon which the decision making strategies of business agent can be studied.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.12
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• pp.2143-2149
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• 2010

Market price and curtailment amounts of the Demand Resource Market(DRM) are determined by competition between electricity consumers. An important aspect of the DRM involves the assessment of strategic behavior of participants for maximizing their profits. This paper presents economic equilibrium models for simulating imperfect competition among electricity consumers in the DRM and analyzes the models at Nash Equilibrium of Game Theory. The proposed demand functions and supply functions of DRM are based on the Demand Resource Market Rules in Korean electricity market. Simulation results show that the models are adequate for obtaining Nash Equilibrium of consumers' competitive curtailment.

• Journal of Korea Game Society
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• v.6 no.2
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• pp.13-22
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• 2006

As the development of games continues, the intelligence of NPC is becoming more and more important. Nowadays, the NPCs of MMORPGS are not only capable of simple actions like moving and attacking players, but also utilizing variety of skills and tactics as human-players do. This study suggests a method that grants characters used in RPG(Role-Playing Game) an ability of training and adaptation using Neural network and Genetic Algorithm. In this study, a simple game-play model is constructed to test how suggested intellect characters could train and adapt themselves to game rules and tactics. In the game-play model, three types of characters(Tanker, Dealer, Healer) are used. Intellect character group constructed by NN and GA, and trained by combats against enemy character group constructed by FSM. As the result of test, the proposed intellect characters group acquire an appropriate combat tactics by themselves according to their abilities and those of enemies, and adapt change of game rule.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.31 no.7
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• pp.41-46
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• 2013