• Journal of Korea Game Society
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• v.16 no.4
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• pp.25-34
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• 2016

Recent stealth games are mainly action games with frontal confrontation or combat features. In this paper, we designed and implemented an stealth game, where characters are weak person and play is conducted by avoiding the situation, not by frontal confrontation. We chose the light as the key factor for the avoidance. The players can survive and fulfill the missions by blocking the enemy's vision. After implementing the first version, we found that the game using only the avoidance is not as fun as expected. To make the game more interesting, we added limited attack function, provided mini map for better user interface, and this paper describes the options we had and experiences of the decision making process to make the better game.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.29-38
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• 2015

In the stealth game design, level designers are to develop many interesting game environments with a variety of difficulties. J. Tremblay and his co-authors developed a Unity-based level design tool to help and automate this process. Given a map, if the designer inputs several game factors such as guard paths and velocities, their vision, and the player's initial and goal positions, then the tool visualizes simulation results including (clustered) possible paths a player could take to avoid detection. Thus with the help of this tool, the designer can ensure in realtime if the current game factors result in the intended difficulties and players paths, and if necessary adjust the factors. In this note, we present our improvement on this tool in two aspects. First, we integrate a function that if the designer inputs some vertices in the map, then the tool systematically generates and suggests interesting guard paths containing these vertices of various difficulties, which enhances its convenience and usefulness as a tool. Second, we replace the collision-detection function and the RRT-based (player) path generation function, by our new collision-check function and a Delaunay roadmap-based path generation function, which remarkably improves the simulation process in time-efficiency.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.27-40
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• 2016

Predicting stealthy behaviors plays an important role in designing stealth games. It is, however, difficult to automate this task because human players interact with dynamic environments in real time. In this paper, we present a reinforcement learning (RL) method for simulating stealthy movements in dynamic environments, in which an integrated model of Q-learning with Artificial Neural Networks (ANN) is exploited as an action classifier. Experiment results show that our simulation agent responds sensitively to dynamic situations and thus is useful for game level designer to determine various parameters for game.

• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.85-97
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• 2006

Schemes to case analysis and cope with on-line game crimes net supervision system, a real name confirmation process, and a self-examination system to check by themselves if they are addicted to on-line games with a view to prevent the addiction. In addition, this study found that general precuations should comprise measures to change the awareness of the users of the internet and to establish their ethical senses because most on-line garners are not aware that their actions are a crime and believe their crimes are not disclosed to the outsiders.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.299-304
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• 2023

Recently, drones have been used as a major means of attack drones in major wars around the world, and it seems likely that they will evolve into game changers in the future. Recently, drones have been used as a major means of attack drones in major wars around the world, and it seems likely that they will evolve into game changers in the future. In the major wars of the 21century, attack drones are used for precision fire-guided or self-destruct attacks, For the purpose of cognitive warfare, its territory is expanding not only to land and air, but also to sea and water. These attack drones will perform multi-domain operations, and for this purpose, the level of autonomy will be improved and High-Low Mix We will continue to develop by strengthening concept-based scalability. North Korea has also been making considerable efforts to operate attack drones for a long time, and activities such as third-country-level self-explosive drones, artificial intelligence-based clustered self-explosive drones, and self-destructive stealth unmanned semi-submersible are expected. In addition to North Korea's provocations and attacks, it is hoped that there will be a need for active follow-up research on our military's countermeasures and utilization plans.