• Journal of Korea Game Society
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• v.1 no.1
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• pp.61-67
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• 2001

This paper describes a program which learns good strategies for two-poison, deterministic, zero-sum board games of perfect information. The program learns by simply playing the game against either a human or computer opponent. The results of the program's teaming of a lot of games are reported. The program consists of search kernel and a move generator module. Only the move generator is modified to reflect the rules of the game to be played. The kernel uses a temporal difference procedure combined with a backpropagation neural network to team good evaluation functions for the game being played. Central to the performance of the program is the search procedure. This is a the capture tree search used in most successful janggi playing programs. It is based on the idea of using search to correct errors in evaluations of positions. This procedure is described, analyzed, tested, and implemented in the game-teaming program. Both the test results and the performance of the program confirm the results of the analysis which indicate that search improves game playing performance for sufficiently accurate evaluation functions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1596-1601
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• 2019

A smart robot game, which is one of the new type expanding the market through coding education classes recently, has a characteristic to manipulate digital games with a smart-phone while using a robot instead of existing games. Under the same rules, the virtual world's game is connected to real world's robot through a smart-phone, and the game is played while exchanging data. This study analyzes smart robot game by dividing them into media features, digital game features, and playful features. In addition, we developed the game based on the board game genre that has the general rules while using the derived development features. As a result, by presenting the case of development of smart robot board game, we would like to propose the points to be considered in the development of smart robot game.

• Journal of English Language & Literature
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• v.64 no.2
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• pp.187-201
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• 2018

Horatio Alger's Ragged Dick (1868) betrays the economic and social system of nineteenth-century America through a self-reformative bootblack's quest for respectability. Being considered a space of constant danger, nineteenth-century New York City serves as a game board, and both visitors and residents of the city are supposed to avoid dangers while moving across its space. Dick Hunter, the juvenile protagonist of the novel, illustrates a street-child who starts his game of life from the backline of the game board. Continuing his quest for respectability, not only must he abandon the bad habits that he acquired as a street-child, but he also must avoid thieves and swindlers just like a tourist or like a player of nineteenth-century American board games. As Dick's social rise goes parallel with his movement in the city space, his entrance to a bank brings him the access to other respectable places, and a series of entrance turns him into a legitimate subject in the official system of the American society. While he continues his game of life successfully with the help of gentlemen patrons, in reality it is almost impossible for a disadvantaged player to escape the backline of the society. Thus, Dick's success story presents Alger's fantasy about the ideal economic system in which materials and persons are endlessly circulated.

• Physical Therapy Korea
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• v.24 no.1
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• pp.30-40
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• 2017

Background: Many studies have reported positive results of the various mirror training and virtual reality games in improving dynamic standing balance and posture adjustment in chronic stroke patients. However, no systematic study has been conducted to compare the effects of virtual reality games and the mirror balance training. Objects: The purpose of this study was to compare the effectiveness of Wii balance games and Mirror Self-Balancing Exercises in improving proprioception of knee joint and standing balance of people with chronic stroke. Methods: Twenty patients with chronic stroke volunteered for this study. The subjects were randomly divided into a Wii balance games group and a Mirror Self-Balancing Exercises group with 10 patients in each group. Each training was performed for 30 mins a day for 4 days. In addition to the balance training, 30 mins neuro-developmental-treatment based routine physical therapy was given to both groups. Proprioception was measured using two continuous passive motion devices, and static balance was measured using a Wii balance board. Dynamic balance assessment tools included the Berg Balance Scale, Dynamic Gait Index, and Timed Up-and-Go test. Results: All measured variables before and after the experimental results showed a significant improvement in both groups (p<.05). Only the improvement of the affected knee proprioception appeared to be significantly greater in the Wii balance game group (p<.05). However, other variables did not differ between the groups (p>.05). Conclusion: The findings suggest that both Wii balance games and Mirror Self-Balancing Exercises may be helpful for improving the proprioception of knee joint and the balance of patients with chronic stroke.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.117-122
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• 2017

This study verified the effects of promoting optimism by utilizing communication board games with university students. Since optimism is closely related to grade, self-efficacy, a sense of achievement, the importance of enhancing optimism was emphasized. This study seeks to investigate practical measures that can promote optimism utilizing games in a more casual environment based on the research of Seligman(1990), which claimed that the optimism can be learned regardless of temperaments. In Study1, the level of optimism increased from M=-4.7(t1) to M=12.8 in t2(p<.001). In Study2, a control group(n=22) was added with the experiment group(n=21). The level of optimism increased from M=-2.4(t1) to M=11.5(t2) in the experiment group(p<.001), whereas there was no difference in the control group.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.557-564
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• 2014

In general, board games are just want to buy a pair of board games to play, but in recent years, a new type of the game - Trading card game (TCG) by the vast number of players, Trading card game with its own custom personal hand gameplay and diversified combination tactics when the game is won a high popularity. And there are a few long Trading card game popularity will continue on to now, the growing popularity of such as the board game market needs will continue to continue.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.15-24
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• 2016

The purpose of this study is to propose a storytelling board game model using cards, focusing on motif theory illustrated at , a type of software that supports story-making. First, the study categorizes storytelling board games into 4 types, then sets a development objective. Furthermore, after creating a 205 types of motif cards according to motif categorizing system, the study presents development model of both basic and expansion mode. The study aims to verify its game characteristics and elaborate its model through focus group tests henceforth.

• Journal of Korea Game Society
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• v.17 no.4
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• pp.109-116
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• 2017

It takes quite amount of time to study a board game because there are many game characters and many state spaces are exist for board games. Therefore, game must do learning long. But, there is weakness with reinforcement learning. On Learning early, the learning speed becomes slow. If there were equal result that both are considered to be best ones during the course of learning stage, Heuristic which utilizes learning of problem area of Jul-Gonu was used to improve the speed of learning. To compare a normal character to an improved one, a board game was created, and then they fought against each other. As a result, improved character's ability was improved on learning speed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.388-389
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• 2015

After being enforced web board game enforcement ordinance, the majority manufacturer of sales that had been operating a web board game was greatly reduced. This restriction is true and that it had a significant impact in preventing exchange and gambling resistance, abnormal use has occurred to still bypass. Therefore, in this study, you can either leave a note of the 'Web Board' sunset enforcement ordinance, and how the debate any changes are necessary and alternative dimension approach, especially we try to study an unusual user patterns that utilize the game system of responsibility as an alternative.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.59-68
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• 2018

In spite of its simple rule, Go is one of the most complex strategic board games in the field of Artificial Intelligence (AI). Monte-Carlo Tree Search (MCTS) is an algorithm with best-first tree search, and has used to implement computer Go. We try to find the most promising first move using MCTS for playing a Go game on a board of size smaller than $9{\times}9$ Go board. The experimental result reveals that MCTS prefers to place the first move at the center in case of odd-sized Go boards, and at the central in case of even-sized Go boards.